Ling He
Impact in
-
- Control Systems and Identification
- Fault Detection and Control Systems
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
Papers in ⓘ
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- Robotic Path Planning Algorithms 3
- Co-authors
- Guanci Yang (10 shared papers)Yang Li (7 shared papers)Jiadui Chen (7 shared papers)Dan Liu (6 shared papers)Youfa Fu (5 shared papers)Saisai Liu (1 shared paper)Shaobo Li (2 shared papers)Dan Liu (2 shared papers)
- Journals
- Biomedical Signal Processing and Control (3 papers)Scientific Reports (2 papers)Engineering Applications of Artificial Intelligence (2 papers)Mechanism and Machine Theory (1 paper)Complex & Intelligent Systems (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ling He
22 papers receiving 522 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Control and Systems Engineering 171
- Artificial Intelligence 152
- Computer Vision and Pattern Recognition 75
- Civil and Structural Engineering 79
- Health Information Management 16
Countries citing papers authored by Ling He
This map shows the geographic impact of Ling He'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 Ling He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling He more than expected).
Fields of papers citing papers by Ling He
This network shows the impact of papers produced by Ling He. 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 Ling He. The network helps show where Ling He may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling He, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems Hit paper breakdown → | 2024 | 166 |
| 2 | 2022 | 89 | |
| 3 | 2023 | 68 | |
| 4 | 2023 | 46 | |
| 5 | 2023 | 35 | |
| 6 | 2024 | 27 | |
| 7 | 2023 | 26 | |
| 8 | 2024 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2025 | 11 | |
| 12 | 2024 | 7 | |
| 13 | 2021 | 4 | |
| 14 | 2009 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Ling He
Ling He is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Toxicology, Artificial Intelligence and Health Information Management, having authored 28 papers that have together received 537 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Robotic Path Planning Algorithms (3 papers), Ideological and Political Education (2 papers), UAV Applications and Optimization (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Evolutionary Algorithms and Applications (2 papers), Mechanical Engineering and Vibrations Research (2 papers) and Innovative Educational Techniques (1 paper). The work is most often cited by research in Control and Systems Engineering (171 citations), Artificial Intelligence (152 citations), Computer Vision and Pattern Recognition (75 citations), Civil and Structural Engineering (79 citations) and Health Information Management (16 citations). Ling He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guanci Yang, Yang Li, Jiadui Chen, Dan Liu, Youfa Fu, Saisai Liu, Shaobo Li, Dan Liu, Yue Wang and Shengwei Fu. Their work appears in journals such as Biomedical Signal Processing and Control, Scientific Reports, Engineering Applications of Artificial Intelligence, Mechanism and Machine Theory and Complex & Intelligent Systems.
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.