Bing Ji
Impact in
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials
- Muscle activation and electromyography studies
- Dielectric materials and actuators
Papers in
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- Advanced Sensor and Energy Harvesting Materials 20
- Dielectric materials and actuators 4
- Innovative Microfluidic and Catalytic Techniques Innovation 3
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- Tactile and Sensory Interactions 14
- Co-authors
- Bingpu Zhou (27 shared papers)Qian Zhou (12 shared papers)Yibo Gao (9 shared papers)Bin Hu (3 shared papers)Jun Zhou (3 shared papers)Weijia Wen (8 shared papers)Chen Ge (8 shared papers)Junwen Zhong (2 shared papers)
In The Last Decade
Bing Ji
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 582
- Biomedical Engineering 1.2k
- Polymers and Plastics 277
- Human-Computer Interaction 99
- Surfaces, Coatings and Films 74
Countries citing papers authored by Bing Ji
This map shows the geographic impact of Bing Ji's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bing Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Ji more than expected).
Fields of papers citing papers by Bing Ji
This network shows the impact of papers produced by Bing Ji. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bing Ji. The network helps show where Bing Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 189 | |
| 2 | 2019 | 175 | |
| 3 | 2021 | 149 | |
| 4 | 2020 | 93 | |
| 5 | 2020 | 88 | |
| 6 | 2019 | 80 | |
| 7 | 2023 | 71 | |
| 8 | 2019 | 67 | |
| 9 | 2022 | 63 | |
| 10 | 2019 | 44 | |
| 11 | 2021 | 42 | |
| 12 | 2020 | 38 | |
| 13 | 2020 | 37 | |
| 14 | 2019 | 30 | |
| 15 | 2019 | 26 | |
| 16 | 2020 | 18 | |
| 17 | 2023 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2018 | 14 | |
| 20 | 2019 | 12 |
About Bing Ji
Bing Ji is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Electrical and Electronic Engineering, Mechanical Engineering and Human-Computer Interaction, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (20 papers), Tactile and Sensory Interactions (14 papers), Interactive and Immersive Displays (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Dielectric materials and actuators (4 papers), Conducting polymers and applications (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (582 citations), Biomedical Engineering (1.2k citations), Polymers and Plastics (277 citations), Human-Computer Interaction (99 citations) and Surfaces, Coatings and Films (74 citations). Bing Ji has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Bingpu Zhou, Qian Zhou, Yibo Gao, Bin Hu, Jun Zhou, Weijia Wen, Chen Ge, Junwen Zhong, Sen Ding and Shunbo Li. Their work appears in journals such as Sensors and Actuators B Chemical, ACS Applied Materials & Interfaces, Advanced Materials, Advanced Materials Technologies and ACS Applied Nano Materials.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.