Kaihao Zhang

5.3k citations
63 papers · 2.2k indexed · 7 hit papers · h-index 23

Kaihao Zhang

60 papers receiving 2.1k citations

Hit Papers

LLDiffu...242017202620202023100200300

Peers

Kaihao Zhang
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 1.9k
  • Media Technology 617
  • Experimental and Cognitive Psychology 299
  • Human-Computer Interaction 86
  • Instrumentation 39
Replace Oksam Chae with:
Oksam Chae South Korea
Md. Hasanul Kabir Bangladesh
Yuqian Zhou United States
Norimichi Ukita Japan
Yi Chang China
Hajime Nagahara Japan
Seungryong Kim South Korea
Xiaodong Cun China
Joon‐Young Lee South Korea
Kaihao Zhang relative to Oksam Chae South Korea Oksam Chae's profile →
Citations per field
00.5×11×
Oksam Chae · 1×
Citations per year

Countries citing papers authored by Kaihao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Kaihao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202435
4 20242
5 20243
6 202421
7 202325
8 202335
9 20235
10 202320
11 202349
12 20237
13 202314
14 202265
15 202214
16 202213
17 202235
18 2021151
19 20214
20
Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networksbreakdown →
2017319

About Kaihao Zhang

Kaihao Zhang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (28 papers), Image Enhancement Techniques (14 papers), Image and Signal Denoising Methods (13 papers), Face recognition and analysis (13 papers), Advanced Vision and Imaging (12 papers), Video Surveillance and Tracking Methods (8 papers), Advanced Image Fusion Techniques (7 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Media Technology (617 citations) and Experimental and Cognitive Psychology (299 citations). Kaihao Zhang has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Wenhan Luo, Hongdong Li, Björn Stenger, Liang Wang, Yongzhen Huang, Wei Liu, Yong Du, Wenqi Ren, Lin Ma and Yiran Zhong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

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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