Chenhan Jiang

943 citations
17 papers · 457 · h-index 10

Impact in

Papers in

Chenhan Jiang

16 papers receiving 444 citations

Peers

Chenhan Jiang
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 310
  • Human-Computer Interaction 30
  • Geology 28
  • Artificial Intelligence 129
  • Media Technology 18
Replace Ramesh R. Manza with:
Ramesh R. Manza India
Shaoyu Chen China
Jiaming Zhang Germany
Zaiyang Yu China
Xinneng Yang China
Yujun Liao China
Alejandro Newell United States
Huang-Chia Shih Taiwan
Shuting He China
Chenhan Jiang relative to Ramesh R. Manza India Ramesh R. Manza's profile →
Citations per field
00.5×3.3×
Ramesh R. Manza · 1×
Citations per year

Countries citing papers authored by Chenhan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Chenhan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201998
2 201972
3 201961
4 202341
5 202041
6 202136
7 201927
8 202027
9
Hybrid Knowledge Routed Modules for Large-scale Object Detection
201818
10
[Utilization of municipal sludge in agriculture and sustainable development].
200011
11 20217
12 20207
13 20246
14 20223
15 20211
16 20241
17 20250

About Chenhan Jiang

Chenhan Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Social Psychology, Marketing and Computational Mechanics, having authored 17 papers that have together received 457 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Multimodal Machine Learning Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Human Pose and Action Recognition (3 papers), Hand Gesture Recognition Systems (2 papers), 3D Shape Modeling and Analysis (2 papers) and Design Education and Practice (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (310 citations), Human-Computer Interaction (30 citations), Geology (28 citations), Artificial Intelligence (129 citations) and Media Technology (18 citations). Chenhan Jiang has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Xiaodan Liang, Hang Xu, Zhenguo Li, Liang Lin, Pengxu Wei, Chen Qian, Keze Wang, Hongyi Cao, Wei Zhang and Nong Xiao. Their work appears in journals such as Sustainability, International Journal of Technology and Design Education, IEEE Transactions on Pattern Analysis and Machine Intelligence, Symmetry and Journal of Computing and Information Science in Engineering.

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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