Weikai He

685 total citations
43 papers, 464 citations indexed

About

Weikai He is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Media Technology. According to data from OpenAlex, Weikai He has authored 43 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Control and Systems Engineering and 6 papers in Media Technology. Recurrent topics in Weikai He's work include Advanced Neural Network Applications (6 papers), Adaptive Control of Nonlinear Systems (5 papers) and Bat Biology and Ecology Studies (5 papers). Weikai He is often cited by papers focused on Advanced Neural Network Applications (6 papers), Adaptive Control of Nonlinear Systems (5 papers) and Bat Biology and Ecology Studies (5 papers). Weikai He collaborates with scholars based in China, United States and Canada. Weikai He's co-authors include Zhenxue Chen, Rolf Müller, Dongliang Yan, Tian Zhang, Li Gao, Lun Li, Xiaohui Yuan, Ziheng Zhang, Xiaojin Wu and Wencheng Wang and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Weikai He

36 papers receiving 456 citations

Peers

Weikai He
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 207
  • Media Technology 75
  • Ecology, Evolution, Behavior and Systematics 71
  • Ecology 60
  • Aerospace Engineering 59
Replace José Ismael De la Rosa Vargas with:
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László Czúni Hungary
Thomas Huang United States
Chunmei Shi China
Eraldo Ribeiro United States
Hidekazu Oki United States
Hongli Deng China
Zdenka Babić Bosnia and Herzegovina
Paul G. Flikkema United States
Xiangteng He China
José Ismael De la Rosa Vargas Mexico View profile →
Citations per field, relative to Weikai He
Weikai He · 1×
Citations per year, relative to Weikai He
Weikai He · 1×

Countries citing papers authored by Weikai He

Since Specialization
Citations

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

Fields of papers citing papers by Weikai He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weikai He

This figure shows the co-authorship network connecting the top 25 collaborators of Weikai He. A scholar is included among the top collaborators of Weikai He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weikai He. Weikai He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 9
6 1
7 0
8 2
9 1
10 17
11 46
12 0
13 14
14 7
15 1
16 8
17 3
18 9
19 24
20 55

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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