Yan‐Lin He

4.1k citations
236 papers · 3.1k · h-index 30

Impact in

Papers in

Yan‐Lin He

218 papers receiving 3.0k citations

Peers

Yan‐Lin He
Comparison fields: 5 of 138
  • Control and Systems Engineering 1.5k
  • Artificial Intelligence 856
  • Ocean Engineering 375
  • Analytical Chemistry 236
  • Mechanical Engineering 791
Replace Barry Lennox with:
Barry Lennox United Kingdom
Jing Wang China
Jiankai Xue China
Yongfang Xie China
Mohamed Nounou Qatar
Weihua Gui China
Antonio Pietrosanto Italy
Hazem Nounou Qatar
Chaoshun Li China
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Citations per field
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Citations per year

Countries citing papers authored by Yan‐Lin He

Since Specialization
Citations

This map shows the geographic impact of Yan‐Lin 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 Yan‐Lin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Lin He more than expected).

Fields of papers citing papers by Yan‐Lin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Lin 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 Yan‐Lin He. The network helps show where Yan‐Lin He may publish in the future.

Co-authors

The 25 scholars most cited alongside Yan‐Lin He, 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 Yan‐Lin He Line = papers co-authored together Yan‐Lin He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 236 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017113
2 201788
3 201784
4 201874
5 201571
6 201865
7 202061
8 202058
9 202157
10 202056
11 202156
12 201856
13 201652
14 202145
15 201544
16 202141
17 201740
18 202239
19 202238
20 201336

About Yan‐Lin He

Yan‐Lin He is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Biomedical Engineering and Analytical Chemistry, having authored 236 papers that have together received 3.1k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (108 papers), Mineral Processing and Grinding (46 papers), Machine Learning and ELM (41 papers), Spectroscopy and Chemometric Analyses (31 papers), Neural Networks and Applications (26 papers), Advanced Algorithms and Applications (23 papers), Anomaly Detection Techniques and Applications (19 papers) and Underwater Vehicles and Communication Systems (19 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Artificial Intelligence (856 citations), Ocean Engineering (375 citations), Analytical Chemistry (236 citations) and Mechanical Engineering (791 citations). Yan‐Lin He has collaborated with scholars based in China, Macao and Japan. Frequent co-authors include Qunxiong Zhu, Yuan Xu, Shuxiang Guo, Liwei Shi, Zhong-Sheng Chen, Zhiqiang Geng, Ning Zhang, Yuan Xu, Shaowu Pan and Ye Tian. Their work appears in journals such as Industrial & Engineering Chemistry Research, IEEE Transactions on Industrial Informatics, Chemometrics and Intelligent Laboratory Systems, IEEE Transactions on Instrumentation and Measurement and Engineering Applications of Artificial Intelligence.

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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