En Li
Impact in
-
- Industrial Vision Systems and Defect Detection
- Plant Science top 1%
- Smart Agriculture and AI
- Chromosomal and Genetic Variations
Papers in
- Geology 8
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- Robot Manipulation and Learning 8
- Co-authors
- Zize LiangGuodong YangYunong TianZhe WangLei YangJunfeng FanHao WangYanhong Liu
- Journals
- IEEE Sensors Journal (7 papers)IEEE Transactions on Instrumentation and Measurement (5 papers)IEEE Robotics and Automation Letters (3 papers)PLANT PHYSIOLOGY (2 papers)Computers and Electronics in Agriculture (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
En Li
97 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Industrial and Manufacturing Engineering 458
- Plant Science 1.4k
- Computer Vision and Pattern Recognition 733
- Analytical Chemistry 249
- Media Technology 195
Countries citing papers authored by En Li
This map shows the geographic impact of En 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 En Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites En Li more than expected).
Fields of papers citing papers by En Li
This network shows the impact of papers produced by En 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 En Li. The network helps show where En Li may publish in the future.
Co-authors
The 25 scholars most cited alongside En 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | MD-YOLO: Multi-scale Dense YOLO for small target pest detection Hit paper breakdown → | 2023 | 95 |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 44 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 29 | |
| 16 | 2021 | 65 | |
| 17 | 2021 | 48 | |
| 18 | 2020 | 22 | |
| 19 | 2020 | 1 | |
| 20 | 2019 | 21 |
About En Li
En Li is a scholar working on Geology, Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering and Ocean Engineering, having authored 113 papers that have together received 3.4k indexed citations. Recurring topics across this work include Power Line Inspection Robots (20 papers), Soft Robotics and Applications (18 papers), Underwater Vehicles and Communication Systems (14 papers), Robotics and Sensor-Based Localization (13 papers), Advanced Neural Network Applications (9 papers), Robotic Path Planning Algorithms (9 papers), Robot Manipulation and Learning (8 papers) and Industrial Vision Systems and Defect Detection (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (458 citations), Plant Science (1.4k citations), Computer Vision and Pattern Recognition (733 citations), Analytical Chemistry (249 citations) and Media Technology (195 citations). En Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zize Liang, Guodong Yang, Yunong Tian, Zhe Wang, Lei Yang, Junfeng Fan, Hao Wang, Yanhong Liu, Jinzhu Peng and Teng Long. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, IEEE Robotics and Automation Letters, PLANT PHYSIOLOGY and Computers and Electronics in Agriculture.
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.