Kai Hu

4.6k citations
234 papers · 3.1k · 1 hit paper · h-index 30

Impact in

Papers in

Kai Hu

212 papers receiving 3.0k citations

Kai Hu's Hit Papers

FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection 2025 · 24 citations
240Years since publication5101520

Peers

Kai Hu
Comparison fields: 5 of 151
  • Media Technology 464
  • Computer Vision and Pattern Recognition 1.0k
  • Artificial Intelligence 749
  • Software 87
  • Information Systems 436
Replace Chun Yuan with:
Chun Yuan China
Jiachen Yang China
Xin Hu China
Bo Tang United States
Kunfeng Wang China
Shigang Liu China
Peng Li China
Manish Kumar India
Bo Li China
Kai Hu relative to Chun Yuan China Chun Yuan's profile →
Citations per field
00.5×2.5×
Chun Yuan · 1×
Citations per year

Countries citing papers authored by Kai Hu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 234 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022134
2 2018131
3 2022115
4 202299
5 201876
6 202368
7 202261
8 202450
9 202249
10 202147
11 201847
12 202247
13 201747
14 202445
15 202345
16 202144
17 201443
18 201743
19 202142
20 202342

About Kai Hu

Kai Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering and Computer Networks and Communications, having authored 234 papers that have together received 3.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (20 papers), Advanced Image Fusion Techniques (16 papers), Human Pose and Action Recognition (13 papers), Image Enhancement Techniques (12 papers), Real-Time Systems Scheduling (12 papers), Blockchain Technology Applications and Security (12 papers), Anomaly Detection Techniques and Applications (11 papers) and Formal Methods in Verification (11 papers). The work is most often cited by research in Media Technology (464 citations), Computer Vision and Pattern Recognition (1.0k citations), Artificial Intelligence (749 citations), Software (87 citations) and Information Systems (436 citations). Kai Hu has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Min Xia, Haifeng Lin, Liguo Weng, Liguo Weng, Junlan Jin, Qingfeng Xia, Zhibin Yang, Wentong Liao, Bodo Rosenhahn and Michael Ying Yang. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Applied Sciences, Frontiers of Computer Science and IEEE Transactions on Geoscience and Remote Sensing.

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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