Sen Li
Impact in
- Instrumentation top 10%
-
- Advanced Neural Network Applications
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 5
- Geochemistry and Geologic Mapping 4
-
- Advanced Neural Network Applications 5
- Co-authors
- Libo Huang (7 shared papers)Lianqing Zheng (6 shared papers)Sihan Chen (4 shared papers)Jie Bai (4 shared papers)Xichan Zhu (4 shared papers)Zhixiong Ma (4 shared papers)Bin Tan (3 shared papers)Mattias Jakobsson (2 shared papers)
- Journals
- Remote Sensing (3 papers)Sensors (3 papers)Neurocomputing (2 papers)IEEE Sensors Journal (2 papers)Food Hydrocolloids (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Sen Li
63 papers receiving 939 citations
Peers
Comparison fields: 5 of 111
- Instrumentation 43
- Computer Vision and Pattern Recognition 224
- Aerospace Engineering 249
- Environmental Engineering 142
- Earth-Surface Processes 43
Countries citing papers authored by Sen Li
This map shows the geographic impact of Sen Li'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 Sen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Li more than expected).
Fields of papers citing papers by Sen Li
This network shows the impact of papers produced by Sen Li. 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 Sen Li. The network helps show where Sen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Li, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 79 | |
| 2 | 2022 | 76 | |
| 3 | 2022 | 74 | |
| 4 | 2021 | 61 | |
| 5 | 2019 | 57 | |
| 6 | 2020 | 48 | |
| 7 | 2020 | 44 | |
| 8 | 2021 | 44 | |
| 9 | 2022 | 41 | |
| 10 | 2021 | 38 | |
| 11 | 2020 | 38 | |
| 12 | 2020 | 35 | |
| 13 | 2012 | 28 | |
| 14 | 2014 | 26 | |
| 15 | 2019 | 24 | |
| 16 | 2021 | 24 | |
| 17 | 2013 | 23 | |
| 18 | CLASSIFICATION AND DEVELOPMENT OF AEOLIAN SAND LANDFORM IN THE YURLUNG ZANGBO VALLEY | 1997 | 17 |
| 19 | 2018 | 14 | |
| 20 | 2020 | 12 |
About Sen Li
Sen Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Environmental Engineering, having authored 71 papers that have together received 953 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Remote Sensing and LiDAR Applications (4 papers), Geochemistry and Geologic Mapping (4 papers), Aeolian processes and effects (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Geology and Paleoclimatology Research (3 papers) and Software System Performance and Reliability (3 papers). The work is most often cited by research in Instrumentation (43 citations), Computer Vision and Pattern Recognition (224 citations), Aerospace Engineering (249 citations), Environmental Engineering (142 citations) and Earth-Surface Processes (43 citations). Sen Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Libo Huang, Lianqing Zheng, Sihan Chen, Jie Bai, Xichan Zhu, Zhixiong Ma, Bin Tan, Mattias Jakobsson, Heqiang Du and Qianli Ma. Their work appears in journals such as Remote Sensing, Sensors, Neurocomputing, IEEE Sensors Journal and Food Hydrocolloids.
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.