En Li

4.7k citations
113 papers · 3.4k indexed · 4 hit papers · h-index 24

Impact in

Papers in

En Li

97 papers receiving 3.3k citations

Hit Papers

MD-YOLO: Multi-scale Dense YOLO for small target pest detection 2023 · 95 citations
952008202620142020250500750

Peers

En Li
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
Replace Xiangjun Zou with:
Xiangjun Zou China
Yunchao Tang China
Manoj Karkee United States
Chris McCool United States
Zize Liang China
Lie Tang United States
Longsheng Fu China
J. Hemming Netherlands
Feras Dayoub Australia
Guodong Yang China
En Li relative to Xiangjun Zou China Xiangjun Zou's profile →
Citations per field
00.5×1.5×2.0×
Xiangjun Zou · 1×
Citations per year

Countries citing papers authored by En Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with En Li Line = papers co-authored together En Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20243
4 20241
5 20241
6 20240
7
MD-YOLO: Multi-scale Dense YOLO for small target pest detection
Hit paper breakdown →
202395
8 20233
9 20233
10 20230
11 20233
12 202215
13 202244
14 20221
15 202129
16 202165
17 202148
18 202022
19 20201
20 201921

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.

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