Hanning Zhou

1.3k total citations
15 papers, 222 citations indexed

About

Hanning Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hanning Zhou has authored 15 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Hanning Zhou's work include Advanced Image and Video Retrieval Techniques (5 papers), Handwritten Text Recognition Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). Hanning Zhou is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Handwritten Text Recognition Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). Hanning Zhou collaborates with scholars based in United States, Hong Kong and China. Hanning Zhou's co-authors include  Huang, Thomas S. Huang, Don Kimber, Yin Zheng, Bangsheng Tang, Wenkui Ding, Huachun Tan, Zhuxi Jiang, Laming Chen and Zongyi Liu and has published in prestigious journals such as Pattern Recognition Letters, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Hanning Zhou

14 papers receiving 202 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hanning Zhou United States 8 144 96 66 44 32 15 222
Mohamed Kaâniche France 9 82 0.6× 29 0.3× 55 0.8× 16 0.4× 41 1.3× 23 209
Akm Ashiquzzaman South Korea 9 136 0.9× 45 0.5× 73 1.1× 13 0.3× 24 0.8× 19 231
Baoxiong Jia China 10 154 1.1× 17 0.2× 145 2.2× 71 1.6× 22 0.7× 19 303
Luc Julia United States 7 67 0.5× 36 0.4× 92 1.4× 18 0.4× 20 0.6× 15 168
C.F. Codella United States 7 52 0.4× 52 0.5× 27 0.4× 22 0.5× 16 0.5× 12 229
Avinash Kumar Singh India 8 90 0.6× 18 0.2× 56 0.8× 24 0.5× 55 1.7× 31 228
Junnan Li Singapore 10 367 2.5× 18 0.2× 194 2.9× 18 0.4× 10 0.3× 18 462
Zhen Zeng China 9 76 0.5× 21 0.2× 129 2.0× 25 0.6× 9 0.3× 29 217
Charul Bhatnagar India 10 228 1.6× 62 0.6× 73 1.1× 14 0.3× 3 0.1× 39 315

Countries citing papers authored by Hanning Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hanning Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanning Zhou

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

All Works

15 of 15 papers shown
1.
Ji, Geng, Huazhong Ning, Changhe Yuan, et al.. (2019). Variational Training for Large-Scale Noisy-OR Bayesian Networks.. Uncertainty in Artificial Intelligence. 873–882. 1 indexed citations
2.
Chen, Laming, et al.. (2018). Hulu video recommendation. 482–482. 3 indexed citations
3.
Chen, Laming, Guoxin Zhang, & Hanning Zhou. (2017). Improving the Diversity of Top-N Recommendation via Determinantal Point Process.. arXiv (Cornell University). 9 indexed citations
4.
Jiang, Zhuxi, Yin Zheng, Huachun Tan, Bangsheng Tang, & Hanning Zhou. (2016). Variational Deep Embedding: A Generative Approach to Clustering.. arXiv (Cornell University). 18 indexed citations
5.
Zheng, Yin, Bangsheng Tang, Wenkui Ding, & Hanning Zhou. (2016). A neural autoregressive approach to collaborative filtering. International Conference on Machine Learning. 764–773. 24 indexed citations
6.
Liu, Zongyi & Hanning Zhou. (2010). Segmenting texts from outdoor images taken by mobile phones using color features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7874. 78740B–78740B.
7.
Liu, Zongyi, et al.. (2010). Semi-supervised learning for text-line detection. Pattern Recognition Letters. 31(11). 1260–1273. 6 indexed citations
8.
Zhou, Hanning & Zongyi Liu. (2009). Page frame segmentation for contextual advertising in print on demand books. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 17–22. 3 indexed citations
9.
Zhou, Hanning & Don Kimber. (2006). Unusual Event Detection via Multi-camera Video Mining. 1161–1166. 34 indexed citations
10.
Liu, Qiong, et al.. (2006). On Redirecting Documents with a Mobile Camera. 467–470. 2 indexed citations
11.
Zhou, Hanning & Thomas S. Huang. (2005). Okapi-Chamfer matching for articulate object recognition. 1026–1033 Vol. 2. 11 indexed citations
12.
Zhou, Hanning, et al.. (2005). Static Hand Gesture Recognition based on Local Orientation Histogram Feature Distribution Model. 161–161. 43 indexed citations
13.
Zhou, Hanning &  Huang. (2003). Tracking articulated hand motion with eigen dynamics analysis. 1102–1109 vol.2. 54 indexed citations
14.
Li, Jiang, Keman Yu, Gang Chen, et al.. (2001). Portrait video phone. 597–598. 2 indexed citations
15.
Li, Jiang, Gang Chen, Jizheng Xu, et al.. (2001). Bi-level video. 392–400. 12 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026