Kaiwen He

677 citations
7 papers · 453 indexed · 1 hit paper · h-index 6
Topics
Traffic Prediction and Management Techniques (3 papers)Human Mobility and Location-Based Analysis (3 papers)Wastewater Treatment and Nitrogen Removal (1 paper)

In The Last Decade

Kaiwen He

6 papers receiving 440 citations

Hit Papers

Personalized Federated Learning for Intelligent IoT Appli...2020202620222024202050100150200250

Peers

Kaiwen He
Comparison fields: 5 of 60
  • Artificial Intelligence 267
  • Computer Networks and Communications 113
  • Building and Construction 92
  • Electrical and Electronic Engineering 85
  • Transportation 67
Replace Puming Wang with:
Puming Wang China
Yongxuan Lai China
Yaoqi Yang China
Rong Du China
Hengrun Zhang China
Dmitri I. Arkhipov United States
Guisong Yang China
Jed Mills United Kingdom
Kaiwen He relative to Puming Wang China Puming Wang's profile →
Citations per field
00.5×
Puming Wang · 1×
Citations per year

Countries citing papers authored by Kaiwen He

Since Specialization
Citations

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

Fields of papers citing papers by Kaiwen He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiwen He

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiwen He. A scholar is included among the top collaborators of Kaiwen 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 Kaiwen He. Kaiwen He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 47
3 28
4 8
5 77
6
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Frameworkbreakdown →
271
7 22

About Kaiwen He

Kaiwen He is a scholar working on Transportation, Building and Construction and Environmental Engineering, having authored 7 papers that have together received 453 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Wastewater Treatment and Nitrogen Removal (1 paper). The work is most often cited by research in Computer Science Applications (54 citations), Transportation (67 citations) and Artificial Intelligence (267 citations). Kaiwen He has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Xu Chen, Qiong Wu, Shuai Yu, Zhi Zhou, Dongsheng Li, Yongsheng Zhang, Xun Xu, Yadong Gong, Yu Zhang and Junshan Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and Journal of Environmental Management.

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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