Nisar Ahmad | Human Genetics | Research Excellence Award

Published on by Technology Scientists

Mr. Nisar Ahmad | Human Genetics | Research Excellence Award

Central South University | China

Mr. Nisar Ahmad is a distinguished researcher at the University of Science and Technology of China, with a focused expertise in entrepreneurial behavior, management education, and the psychology of career intentions. Over his academic career, he has authored 14 peer-reviewed publications, collectively cited 73 times and 5 h-index, reflecting the scholarly impact and recognition of his work in international research communities. His studies critically examine the role of motivational factors and role models in shaping entrepreneurial career paths, contributing both theoretical insights and practical implications for education and business policy. Dr. Ahmad has actively collaborated with 39 co-authors, fostering cross-institutional and interdisciplinary research partnerships. His work demonstrates measurable social relevance, influencing educational practices and supporting entrepreneurial development programs. Through a combination of rigorous empirical research, innovative conceptual frameworks, and international collaborations, Mr. Ahmad continues to advance understanding in management education, entrepreneurship, and motivational psychology, positioning his contributions at the intersection of scholarship and societal impact.

Citation Metrics (Scopus)

73
50
30
10
0

Citations

73

Documents

14

h-index

5

Citations

Documents

h-index

View Scopus Profile
 View ORCID Profile
 View Google Scholar Profile

Top 5 Featured Publications


The role of organizational citizenship behavior and patriotism in sustaining public health employees’ performance

– ME Rizaie, 2023


Public Sector Employee Perspective towards Adoption of E-Government in Pakistan: A Proposed Research Agenda

– N Ahmad, 2021


Healthcare professionals satisfaction and AI-based clinical decision support system in public sector hospitals during health crises: a cross-sectional study

– N Ahmad, 2025


Supportive Leadership and Post-Adoption Use of MOOCs: The Mediating Role of Innovative Work Behavior

– F Ahmed, 2022


Adoption of E-Services and Quality of Life Among Older Consumers in China

– M Waqas, 2021

Xiaocui Wang | Mechanical Engineering | Women Researcher Award

Published on by Technology Scientists

Assoc. Prof. Dr. Xiaocui Wang | Mechanical Engineering | Women Researcher Award

Wenzhou University | China

Assoc. Prof. Dr. Xiaocui Wang is an active researcher in the field of railway engineering and tribology, with a particular focus on high-speed train braking systems, friction and wear behavior, thermo-mechanical coupling, and energy harvesting from friction-induced vibrations. She has authored 34 peer-reviewed publications, which have collectively received 442 citations, reflecting steady academic impact and relevance within mechanical and transportation engineering communities. Her work has been published in reputable international journals such as Wear and Sustainable Materials and Technologies, addressing critical challenges including brake performance under extreme cold environments, thermal crack propagation in brake discs, and innovative hybrid piezoelectric–triboelectric generators for sustainable energy recovery. With an h-index of 12, Dr. Wang demonstrates consistent research influence and scholarly productivity. She has collaborated with a broad network of over 90 co-authors, highlighting strong interdisciplinary and international engagement. Her research contributes to safer, more reliable, and energy-efficient railway systems, offering tangible social and industrial benefits for sustainable transportation infrastructure worldwide.

Citation Metrics (Scopus)

442
300
200
100
0

Citations

442

Documents

34

h-index

12

Citations

Documents

h-index


View Scopus Profile
 View ORCID Profile

Top 5 Featured Publications

Gui Gao | Remote Sensing | Research Excellence Award

Published on by Technology Scientists

Prof. Gui Gao | Remote Sensing | Research Excellence Award

Southwest Jiaotong University | China

Prof. Gao Gui is an Associate Professor at Southwest Jiaotong University, Chengdu, China, with recognized expertise in remote sensing, synthetic aperture radar (SAR) image interpretation, geoscience information processing, and intelligent maritime monitoring. His research focuses on ship detection and classification, SAR–optical data fusion, few-shot and zero-shot learning, attention-based deep learning architectures, and the development of benchmark datasets for Earth observation applications. He has authored 145 peer-reviewed publications, primarily in leading IEEE and Elsevier journals, accumulating 2,915 citations with an h-index of 28, reflecting strong academic influence and sustained research productivity. Prof. Gao has collaborated extensively with nearly 200 international co-authors, indicating broad interdisciplinary and global research engagement. His work has contributed significantly to advancements in maritime surveillance, ecological monitoring, and climate-related ocean observation, supporting applications in environmental protection, maritime safety, and sustainable resource management, thereby demonstrating both scientific rigor and tangible societal impact.

Citation Metrics (Scopus)

2915
2500
1500
1000
0

Citations

2915

Documents

145

h-index

28

Citations

Documents

h-index


View Scopus Profile
 View ORCID Profile

Top 5 Featured Publications

Qixiang Zhang | Friction Braking | Research Excellence Award

Published on by Technology Scientists

Dr. Qixiang Zhang | Friction Braking | Research Excellence Award

Southwest Jiaotong University | China

Dr. Qixiang Zhang is a researcher at Southwest Jiaotong University, Chengdu, China, specializing in railway braking systems, tribology, and thermo-mechanical behavior of high-speed train components. His research focuses on friction interface evolution, wear mechanisms, vibration characteristics, and thermal crack propagation of brake discs and friction materials, particularly under extreme operating conditions such as long downhill ramps and cold environments. He has authored 36 peer-reviewed publications, which have collectively received over 503 citations, reflecting the strong academic influence and technical relevance of his work. With an h-index of 13, his contributions demonstrate sustained impact in railway engineering and mechanical wear analysis. Zhang has collaborated with more than 55 co-authors, indicating active engagement in multidisciplinary and institutional research networks. His findings support safer, more reliable, and more durable braking systems for high-speed rail, contributing directly to transportation safety, energy efficiency, and sustainable railway infrastructure development.

Citation Metrics (Scopus)

503
450
300
150
0

Citations

503

Documents

36

h-index

13

Citations

Documents

h-index


View Scopus Profile
 View ORCID Profile

Featured Publications

Jianping Liu | Hydraulic Fracturing | Innovative Research Award

Published on by Technology Scientists

Dr. Jianping Liu | Hydraulic Fracturing | Innovative Research Award

Southwest Petroleum University | China

Dr. Jianping Liu is a researcher at Southwest Petroleum University, China, specializing in petroleum engineering and energy-related subsurface sciences, with a focus on advancing oil and gas exploration, reservoir characterization, and sustainable energy development. He has published 14 peer-reviewed articles, accumulating over 116 citations and 6 h-index, which demonstrates consistent academic visibility and research impact. His work integrates applied engineering solutions with scientific analysis, contributing to improved efficiency and reliability in hydrocarbon resource development. Dr. Liu has collaborated with more than 29 national and international researchers, reflecting strong engagement in multidisciplinary and cooperative research environments. Through scholarly publications and collaborative projects, his research supports technological innovation in the energy sector, promotes responsible resource utilization, and contributes to broader societal objectives related to energy security and sustainable development.

Citation Metrics (Scopus)

116
75
50
25
0

Citations

116

Documents

14

h-index

6

Citations

Documents

h-index


View Scopus Profile
 View Google Scholar Profile

Top 5 Featured Publications

Ke Wang | Micro-Devices | Research Excellence Award

Published on by Technology Scientists

Prof. Dr. Ke Wang | Micro-Devices | Research Excellence Award

East China University of Technology | China

Prof. Dr. Ke Wang is an established researcher in condensed matter physics, magnetic materials, and neuromorphic electronic devices, currently affiliated with East China University of Technology, China. His research primarily focuses on spintronic materials, magnetocaloric effects, perpendicular magnetic anisotropy, thin-film magnetism, and memristor-based neuromorphic computing, integrating materials science with next-generation computing technologies. Dr. Wang has authored 90 peer-reviewed publications, which have received over 840 citations, reflecting sustained academic influence and a solid h-index of 15. His work is widely published in high-impact international journals such as Applied Physics Letters, ACS Applied Electronic Materials, Journal of Physics D, and Nanotechnology. He has collaborated extensively with a broad international network, evidenced by over 140 co-authors, highlighting strong interdisciplinary and cross-institutional engagement. Dr. Wang’s research contributes to advances in energy-efficient computing, magnetic refrigeration, and emerging memory technologies, supporting long-term societal impact in sustainable energy systems and intelligent electronic devices.

Citation Metrics (Scopus)

840
600
400
200
0

Citations

840

Documents

90

h-index

15

Citations

Documents

h-index


View Scopus Profile
 View ORCID Profile

Top 5 Featured Publications


Thickness-dependent interface effects on magnetic and magnetocaloric properties of Ta-capped TbFeCo amorphous thin films

– Jagadish Kumar Galivarapu, 2026


Synaptic plasticity and handwritten digit recognition of a memristor based on a high-stability lead-free Cs3Bi2Br9 perovskite thin film†

– Jian Liu, 2025


Cross-modal neuromorphic computing in GdFeCo devices by spin–orbit torque induced field-free magnetization switching

– Huiyun Hu, 2025


Robust multilevel storage characteristics of Al2O3/HfO2/Al2O3 trilayer-structured memristor fabricated by atomic layer deposition for neuromorphic computing

– Jian Liu, 2025


Thickness effects of ultrathin Pt spacer on perpendicular exchange coupling properties of TbFeCo bilayers with opposite phases

– Ke Wang, 2025

Marianna Notarnicola | Digital Twin | Research Excellence Award

Published on by Technology Scientists

Ms. Marianna Notarnicola | Digital Twin | Research Excellence Award

Lutech S.p.a. | Italy

Ms. Marianna Notarnicola is a researcher and industry professional specializing in data-driven digital twins, smart energy infrastructures, and AI-enabled urban systems, with a strong focus on practical deployment within telecommunications and energy sectors. Affiliated with Nokia Siemens Networks S.p.A., Italy, her work bridges advanced data analytics, retrieval-augmented generation (RAG), and smart city technologies to enhance the intelligence, resilience, and efficiency of energy infrastructure digital twins. She has authored 5 publications, which have received 45 citations and 3 h-index, reflecting a solid and growing impact within an interdisciplinary research community spanning smart cities, energy systems, and applied AI. Her collaborations with 23 international co-authors demonstrate strong engagement with cross-sector and multi-institutional research networks. A notable achievement includes her open-access 2024 publication on RAG-based digital twins, contributing to transparent, scalable, and data-centric urban energy management. Overall, her research supports sustainable infrastructure development, informed decision-making, and the societal transition toward smarter, greener cities.

Citation Metrics (Scopus)

45
30
20
10
0

Citations

45

Documents

5

h-index

3

Citations

Documents

h-index


View Scopus Profile
 View ORCID Profile

Featured Publications

Yixian Dong | Optical Computing | Research Excellence Award

Published on by Technology Scientists

Assoc. Prof. Dr. Yixian Dong | Optical Computing | Research Excellence Award

Southwest Jiaotong University | China

Assoc. Prof. Dr. Yixian Dong, based at Southwest Jiaotong University, Chengdu, China, is a distinguished researcher in photonic and optical communication systems, with a particular focus on reservoir computing, visible light communications (VLC), and multi-user MIMO-OFDMA networks. His work integrates advanced photonic architectures with cutting-edge signal processing to enhance high-speed, short-reach optical transmission and wireless optical systems. To date, he has authored 41 publications that have collectively garnered 325 citations and 10 h-index, reflecting both the relevance and impact of his contributions. Dong maintains extensive international collaborations, engaging with over 70 co-authors across multidisciplinary projects, demonstrating his commitment to global scientific exchange. His research advances practical applications in optical networking, data transmission, and intelligent computing systems, influencing both industry and academia. By bridging theoretical innovation with experimental validation, Dong’s work significantly contributes to the development of efficient, high-capacity communication technologies, reinforcing the societal and technological impact of photonic intelligence in modern information systems.

Citation Metrics (Scopus)

325
200
100
50
0

Citations

325

Documents

41

h-index

10

Citations

Documents

h-index


View Scopus Profile
 View Google Scholar Profile

Top 5 Featured Publications

Bin Zhang | Artificial Intelligence | Research Excellence Award

Published on by Technology Scientists

Prof. Bin Zhang | Artificial Intelligence | Research Excellence Award

City University of Hong Kong | China

Prof. Bin Zhang is a Professor and senior engineering expert specializing in computer science and intelligent perception, with a strong focus on brain-inspired intelligence, generative models, small object detection, and deep learning–based visual understanding. His research integrates theory and real-world applications in areas such as infrared tiny object detection, intelligent transportation, panoramic vision, spiking neural networks, and natural language processing. He has authored 6 peer-reviewed publications in reputable international journals and conferences, including Sensors and the International Journal of Pattern Recognition and Artificial Intelligence, with his work attracting growing academic citations and visibility. Zhang Bin has led and contributed to multiple nationally recognized innovation initiatives in China and maintains active collaborations with researchers across academia and industry. His research has demonstrated clear social and industrial impact, particularly in smart cities, intelligent sensing, and decision-support systems, advancing practical AI deployment aligned with national and global technological priorities.


View ORCID Profile

Top 5 Featured Publications

Annarosa Scalcione | Machine learning | Research Excellence Award

Published on by Technology Scientists

Dr. Annarosa Scalcione | Machine learning | Research Excellence Award

Politecnico di Torino | Italy

Dr. Annarosa Scalcione is an early-career biomedical engineer at Politecnico di Torino with research expertise in medical image analysis, radiomics, and artificial intelligence–based diagnostic support systems. Her work focuses on end-to-end radiomic frameworks for the automated classification and three-dimensional visualization of vertebral lesions, aiming to enhance accuracy, reproducibility, and clinical interpretability in spinal and musculoskeletal imaging. She is the co-author of a peer-reviewed journal article published in Engineering (MDPI), reflecting her contribution to interdisciplinary research at the intersection of biomedical engineering, computer vision, and clinical imaging. Her research activities involve collaboration with multidisciplinary teams of engineers, clinicians, and imaging experts, underscoring a strong capacity for cooperative scientific work. While at an early stage of her academic career, her research demonstrates clear translational and societal impact by supporting improved diagnostic workflows, facilitating data-driven clinical decision-making, and contributing to the advancement of intelligent healthcare technologies with potential benefits for patient outcomes.


View ORCID Profile

Featured Publication