Jing Pan
Impact in
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials
- Non-Invasive Vital Sign Monitoring
- Muscle activation and electromyography studies
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 11
- Biosensors and Analytical Detection 2
-
- Advanced Fiber Optic Sensors 6
- Co-authors
- Lei Zhang (15 shared papers)Limin Tong (12 shared papers)Zhang Zhang (10 shared papers)Chengpeng Jiang (3 shared papers)Ni Yao (8 shared papers)Yao Tang (6 shared papers)Haitao Liu (5 shared papers)Longteng Yu (6 shared papers)
- Journals
- Advanced Materials Technologies (2 papers)Opto-Electronic Advances (2 papers)Nanoscale (2 papers)Advanced Functional Materials (2 papers)Optics Express (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Jing Pan
20 papers receiving 607 citations
Peers
Comparison fields: 5 of 62
- Biomedical Engineering 472
- Cognitive Neuroscience 200
- Electrical and Electronic Engineering 365
- Human-Computer Interaction 31
- Bioengineering 30
Countries citing papers authored by Jing Pan
This map shows the geographic impact of Jing Pan'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 Jing Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Pan more than expected).
Fields of papers citing papers by Jing Pan
This network shows the impact of papers produced by Jing Pan. 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 Jing Pan. The network helps show where Jing Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2021 | 75 | |
| 3 | 2021 | 75 | |
| 4 | 2022 | 64 | |
| 5 | 2022 | 52 | |
| 6 | 2022 | 51 | |
| 7 | 2021 | 43 | |
| 8 | 2021 | 38 | |
| 9 | 2020 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2023 | 28 | |
| 12 | 2019 | 23 | |
| 13 | 2019 | 22 | |
| 14 | 2023 | 19 | |
| 15 | 2025 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2017 | 1 |
About Jing Pan
Jing Pan is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Biomaterials, having authored 20 papers that have together received 669 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (11 papers), Tactile and Sensory Interactions (7 papers), Advanced Fiber Optic Sensors (6 papers), Advanced Materials and Mechanics (2 papers), Biosensors and Analytical Detection (2 papers), Analytical Chemistry and Sensors (2 papers), Silk-based biomaterials and applications (2 papers) and Liquid Crystal Research Advancements (2 papers). The work is most often cited by research in Biomedical Engineering (472 citations), Cognitive Neuroscience (200 citations), Electrical and Electronic Engineering (365 citations), Human-Computer Interaction (31 citations) and Bioengineering (30 citations). Jing Pan has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Lei Zhang, Limin Tong, Zhang Zhang, Chengpeng Jiang, Ni Yao, Yao Tang, Haitao Liu, Longteng Yu, Wei Fang and Yancheng Wang. Their work appears in journals such as Advanced Materials Technologies, Opto-Electronic Advances, Nanoscale, Advanced Functional Materials and Optics Express.
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.