Li-Ming Zhao

2.7k total citations · 2 hit papers
46 papers, 1.6k citations indexed

About

Li-Ming Zhao is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Li-Ming Zhao has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Cognitive Neuroscience and 11 papers in Human-Computer Interaction. Recurrent topics in Li-Ming Zhao's work include EEG and Brain-Computer Interfaces (11 papers), Gaze Tracking and Assistive Technology (8 papers) and Emotion and Mood Recognition (7 papers). Li-Ming Zhao is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Gaze Tracking and Assistive Technology (8 papers) and Emotion and Mood Recognition (7 papers). Li-Ming Zhao collaborates with scholars based in China, United States and Australia. Li-Ming Zhao's co-authors include Xi Li, Jingdong Wang, Yueting Zhuang, Fei Wu, Bao‐Liang Lu, Ming–Hsuan Yang, Haibin Ling, Lina Wei, Jane Huffman Hayes and Erdan Gu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Neurocomputing.

In The Last Decade

Li-Ming Zhao

42 papers receiving 1.6k citations

Hit Papers

Deeply-Learned Part-Aligned Representations for Person Re... 2016 2026 2019 2022 2017 2016 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. Deeply-Learned Part-Aligned Representations for Person Re-identification
    2017 553 citations Li-Ming Zhao, Xi Li et al. profile →
  2. DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
    2016 391 citations Xi Li, Li-Ming Zhao et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li-Ming Zhao China 19 1.1k 281 261 172 171 46 1.6k
Tim K. Marks United States 18 2.6k 2.2× 615 2.2× 379 1.5× 234 1.4× 92 0.5× 51 3.1k
Jun Wan China 29 1.9k 1.7× 332 1.2× 70 0.3× 344 2.0× 155 0.9× 90 2.5k
Kang Park South Korea 25 1.4k 1.2× 245 0.9× 231 0.9× 428 2.5× 117 0.7× 97 2.3k
Preeti Bajaj India 17 204 0.2× 174 0.6× 178 0.7× 75 0.4× 166 1.0× 96 985
Alexander Zelinsky Australia 23 890 0.8× 185 0.7× 118 0.5× 263 1.5× 97 0.6× 69 1.6k
Dalin Zhou United Kingdom 19 367 0.3× 569 2.0× 334 1.3× 213 1.2× 128 0.7× 60 1.2k
Humaira Nisar Malaysia 17 342 0.3× 171 0.6× 445 1.7× 69 0.4× 168 1.0× 151 1.3k
Eui Chul Lee South Korea 23 547 0.5× 182 0.6× 302 1.2× 474 2.8× 115 0.7× 126 1.7k
Kimiaki Shirahama Germany 16 673 0.6× 214 0.8× 66 0.3× 47 0.3× 41 0.2× 68 1.1k

Countries citing papers authored by Li-Ming Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Li-Ming Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li-Ming Zhao. 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 Li-Ming Zhao. The network helps show where Li-Ming Zhao may publish in the future.

Co-authorship network of co-authors of Li-Ming Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Li-Ming Zhao. A scholar is included among the top collaborators of Li-Ming Zhao 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 Li-Ming Zhao. Li-Ming Zhao 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.
Zheng, Shuang, Wenao Ma, Lin Mu, et al.. (2025). CT-based artificial intelligence system complementing deep learning model and radiologist for liver fibrosis staging. iScience. 28(4). 112224–112224.
2.
Cheng, Fei, Rui Li, Li-Ming Zhao, Wei‐Long Zheng, & Bao‐Liang Lu. (2023). EEG-Eye Movements Cross-Modal Decision Confidence Measurement with Generative Adversarial Networks. 1–4. 2 indexed citations
3.
Fu, Xi, Li-Ming Zhao, & Cuntai Guan. (2022). MATN: Multi-model Attention Network for Gait Prediction from EEG. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 4 indexed citations
4.
Zhao, Li-Ming, et al.. (2021). Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 35(1). 863–870. 97 indexed citations
5.
Zhao, Li-Ming, et al.. (2020). Design and Validation of a Wearable Hand Exoskeleton System. 559–563. 4 indexed citations
6.
Zhao, Li-Ming, Xi Li, Yueting Zhuang, & Jingdong Wang. (2017). Deeply-Learned Part-Aligned Representations for Person Re-identification. 3239–3248. 553 indexed citations breakdown →
7.
Li, Wanpeng, Li-Ming Zhao, Hongming Xu, & Xiaoyan Li. (2017). First branchial cleft anomalies in children: Experience with 30 cases. Experimental and Therapeutic Medicine. 14(1). 333–337. 25 indexed citations
8.
Li, Wanpeng, Hongming Xu, Li-Ming Zhao, & Xiaoyan Li. (2017). Branchial anomalies in children: A report of 105 surgical cases. International Journal of Pediatric Otorhinolaryngology. 104. 14–18. 18 indexed citations
9.
Zhao, Li-Ming, Jingdong Wang, Xi Li, Zhuowen Tu, & Wenjun Zeng. (2016). On the Connection of Deep Fusion to Ensembling.. arXiv (Cornell University). 23 indexed citations
10.
Zhao, Li-Ming, et al.. (2015). Effects of irrigation methods and rice planting densities on yield and photosynthetic characteristics of matter production in cold area.. Nongye gongcheng xuebao. 31(6). 159–169. 11 indexed citations
11.
12.
Zhao, Li-Ming. (2009). Current Research Advances on Plant Hormones and Regulation of Plant Development by Plant Hormones in Rice. 1 indexed citations
13.
Zhao, Li-Ming. (2009). Relationship between Grain Composition and Quality of Rice. 1 indexed citations
14.
Huenerfauth, Matt, Li-Ming Zhao, Erdan Gu, & Jan M. Allbeck. (2008). Evaluation of American Sign Language Generation by Native ASL Signers. ACM Transactions on Accessible Computing. 1(1). 1–27. 40 indexed citations
15.
Huenerfauth, Matt, Li-Ming Zhao, Erdan Gu, & Jan M. Allbeck. (2007). Design and evaluation of an American Sign Language generator. 51–58. 7 indexed citations
16.
Zhao, Li-Ming. (2006). Fuzzy Neural Network Controller of Inverted Pendulum with Reinforcement Learn ing Rule. Journal of Jilin University.
17.
Wang, Yiyuan & Li-Ming Zhao. (2005). Pitch frequency estimation of Chinese multi-syllable words based on wavelet transform. 6. 3765–3769. 1 indexed citations
18.
Zhao, Li-Ming, et al.. (1993). 951. A FOSSIL POPULATION OF GINKGO LEAVES FROM THE XINGYUAN FORMATION, INNER MONGOLIA. 1993(169). 73–96. 8 indexed citations
19.
Zhao, Li-Ming, et al.. (1991). Fossil Plants from Xingyuan Formation, Pingzhuang Chifeng, Nei Monggol. Journal of Integrative Plant Biology. 33(12). 1 indexed citations
20.
Zhao, Li-Ming. (1989). Studies on the Pleozoic Seed---Genus Callospermarion. Journal of Integrative Plant Biology. 31(5). 4 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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