Hejun Wu

1.4k citations
54 papers · 904 · h-index 12

Impact in

Papers in

Hejun Wu

52 papers receiving 845 citations

Peers

Hejun Wu
Comparison fields: 5 of 90
  • Building and Construction 275
  • Computer Networks and Communications 321
  • Transportation 90
  • Civil and Structural Engineering 212
  • Computer Vision and Pattern Recognition 163
Replace Lingzhi Yi with:
Lingzhi Yi China
Hoang Duy Trinh United States
Myounggyu Won United States
Arman Malekloo Türkiye
Guiping Wang China
Manjiang Hu China
Yali Yuan China
Xiaomin Ma United States
Antoni Morell Spain
Hejun Wu relative to Lingzhi Yi China Lingzhi Yi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hejun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hejun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000197
2 2010119
3 201167
4 201165
5 201661
6 201657
7 201552
8 200635
9 200724
10 201115
11 200914
12 201112
13 201511
14 20239
15 20229
16 20248
17 20168
18 20208
19 20228
20 20128

About Hejun Wu

Hejun Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 54 papers that have together received 904 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (17 papers), Mobile Ad Hoc Networks (8 papers), Opportunistic and Delay-Tolerant Networks (7 papers), Energy Harvesting in Wireless Networks (6 papers), Security in Wireless Sensor Networks (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Underwater Vehicles and Communication Systems (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Building and Construction (275 citations), Computer Networks and Communications (321 citations), Transportation (90 citations), Civil and Structural Engineering (212 citations) and Computer Vision and Pattern Recognition (163 citations). Hejun Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jiannong Cao, Victor C. Li, Youjiang Wang, Binbin Zhou, Qiong Luo, Xiaoqin Zeng, James Cheng, Wenwei Xue, Yiping Ke and Yuzhen Huang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Medical Image Analysis, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing and Electronics Letters.

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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