Cha Zhang

13.1k total citations · 7 hit papers
124 papers, 6.6k citations indexed

About

Cha Zhang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Cha Zhang has authored 124 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Vision and Pattern Recognition, 33 papers in Signal Processing and 22 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Cha Zhang's work include Advanced Vision and Imaging (51 papers), Computer Graphics and Visualization Techniques (22 papers) and Speech and Audio Processing (16 papers). Cha Zhang is often cited by papers focused on Advanced Vision and Imaging (51 papers), Computer Graphics and Visualization Techniques (22 papers) and Speech and Audio Processing (16 papers). Cha Zhang collaborates with scholars based in United States, China and United Kingdom. Cha Zhang's co-authors include Zhengyou Zhang, Tsuhan Chen, Dinei Florêncio, Yunqian Ma, Zhiding Yu, Emad Barsoum, Paul Viola, Seyedmahdad Mirsamadi, John Platt and Stefanos Zafeiriou and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and IEEE Signal Processing Magazine.

In The Last Decade

Cha Zhang

123 papers receiving 6.2k citations

Hit Papers

Ensemble Machine Learning: Methods and Applications 2005 2026 2012 2019 2012 2017 2005 2015 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ensemble Machine Learning: Methods and Applications
    2012 565 citations Cha Zhang, Yunqian Ma CERN Document Server (European Organization for Nuclear Research) profile →
  2. Automatic speech emotion recognition using recurrent neural networks with local attention
    2017 508 citations Cha Zhang et al. profile →
  3. Multiple Instance Boosting for Object Detection
    2005 446 citations Cha Zhang, John Platt et al. Neural Information Processing Systems profile →
  4. Image based Static Facial Expression Recognition with Multiple Deep Network Learning
    2015 396 citations Cha Zhang et al. profile →
  5. A Survey of Recent Advances in Face Detection
    2010 316 citations Cha Zhang, Zhengyou Zhang profile →
  6. LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
    2021 194 citations Tengchao Lv, Furu Wei et al. profile →
  7. TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models
    2023 110 citations Minghao Li, Tengchao Lv et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cha Zhang United States 39 4.1k 1.5k 1.4k 910 635 124 6.6k
Stefanos Zafeiriou United Kingdom 52 8.5k 2.1× 3.0k 2.0× 1.9k 1.3× 2.5k 2.7× 1.2k 1.9× 251 11.8k
Sérgio Escalera Spain 41 3.6k 0.9× 1.0k 0.7× 1.5k 1.0× 781 0.9× 180 0.3× 261 6.4k
Ioannis Pitas Greece 62 12.4k 3.1× 3.0k 2.0× 2.9k 2.0× 1.3k 1.4× 811 1.3× 656 16.3k
Alberto Del Bimbo Italy 47 8.4k 2.1× 1.3k 0.9× 1.8k 1.2× 193 0.2× 506 0.8× 532 9.9k
Baocai Yin China 39 4.1k 1.0× 666 0.4× 1.4k 1.0× 236 0.3× 494 0.8× 446 7.8k
Di Huang China 35 3.3k 0.8× 724 0.5× 1.0k 0.7× 726 0.8× 222 0.3× 208 4.9k
Fernando De la Torre United States 46 5.3k 1.3× 1.3k 0.9× 1.4k 1.0× 1.4k 1.5× 464 0.7× 157 7.8k
Qi Tian China 57 9.7k 2.4× 736 0.5× 3.1k 2.1× 367 0.4× 548 0.9× 426 12.0k
Sicheng Zhao China 40 3.2k 0.8× 365 0.2× 2.2k 1.6× 604 0.7× 388 0.6× 162 5.6k
Zicheng Liu United States 48 9.0k 2.2× 778 0.5× 3.4k 2.3× 167 0.2× 752 1.2× 182 11.3k

Countries citing papers authored by Cha Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Cha Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cha Zhang

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

All Works

20 of 20 papers shown
1.
Li, Minghao, Tengchao Lv, Jingye Chen, et al.. (2023). TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13094–13102. 110 indexed citations breakdown →
2.
Wang, Guoxin, Yijuan Lu, Lei Cui, et al.. (2022). A Simple yet Effective Learnable Positional Encoding Method for Improving Document Transformer Model. 453–463. 3 indexed citations
3.
Chin, Ting-Wu, Ruizhou Ding, Cha Zhang, & Diana Marculescu. (2019). LeGR: Filter Pruning via Learned Global Ranking.. arXiv (Cornell University). 10 indexed citations
4.
Zhang, Cha, Dinei Florêncio, & Charles Loop. (2014). Point cloud attribute compression with graph transform. 2066–2070. 181 indexed citations
5.
6.
Zhang, Cha, Qin Cai, Philip A. Chou, Zhengyou Zhang, & Ricardo Martin-Brualla. (2013). Viewport: A Distributed, Immersive Teleconferencing System with Infrared Dot Pattern. IEEE Multimedia. 20(1). 17–27. 53 indexed citations
7.
Zhang, Cha & Yunqian Ma. (2012). Ensemble Machine Learning: Methods and Applications. CERN Document Server (European Organization for Nuclear Research). 565 indexed citations breakdown →
8.
Zhang, Cha, Dinei Florêncio, & Zhengyou Zhang. (2011). Improving Immersive Experiences in Telecommunication with Motion Parallax. IEEE Signal Processing Magazine. 7 indexed citations
9.
Zhang, Cha, et al.. (2010). Enhanced Binaural Loudspeaker Audio System with Room Modeling. 7(6). 1125–1129. 1 indexed citations
10.
Ba, Demba, Flávio Ribeiro, Cha Zhang, & Dinei Florêncio. (2010). L1 regularized room modeling with compact microphone arrays. 157–160. 31 indexed citations
11.
Zhang, Cha, Dinei Florêncio, & Zhengyou Zhang. (2010). Improving Immersive Experiences in Telecommunication with Motion Parallax [Applications Corner. IEEE Signal Processing Magazine. 28(1). 139–144. 8 indexed citations
12.
Florêncio, Dinei & Cha Zhang. (2009). Improving 3D perception by adding eye-tracking based motion parallax - an ICASSP demo. International Conference on Acoustics, Speech, and Signal Processing. 1 indexed citations
13.
Florêncio, Dinei & Cha Zhang. (2009). Multiview video compression and streaming based on predicted viewer position. 657–660. 12 indexed citations
14.
Wang, Xiaogang, Cha Zhang, & Zhengyou Zhang. (2009). Boosted multi-task learning for face verification with applications to web image and video search. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 22 indexed citations
15.
Zhang, Cha, Roszilah Hamid, & Zhengyou Zhang. (2008). Taylor expansion based classifier adaptation: Application to person detection. 1–8. 21 indexed citations
16.
Zhang, Cha & Paul Viola. (2007). Multiple-Instance Pruning For Learning Efficient Cascade Detectors. Neural Information Processing Systems. 20. 1681–1688. 81 indexed citations
17.
Huang, Cheng, Philip A. Chou, Jin Li, & Cha Zhang. (2006). Adaptive peer-to-peer streaming with MutualCast. Journal of Zhejiang University. Science A. 7(5). 737–748. 2 indexed citations
18.
Zhang, Cha, John Platt, & Paul Viola. (2005). Multiple Instance Boosting for Object Detection. Neural Information Processing Systems. 18. 1417–1424. 446 indexed citations breakdown →
19.
Zhang, Cha & Tsuhan Chen. (2002). Towards optimal least square filters using the eigenfilter approach. IV–4171. 3 indexed citations
20.
Wu, Yunnan, et al.. (2000). Smart rebinning for compression of concentric mosaics. 201–209. 6 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.

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