Zechao Li

9.6k total citations · 7 hit papers
167 papers, 6.7k citations indexed

About

Zechao Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zechao Li has authored 167 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Computer Vision and Pattern Recognition, 60 papers in Artificial Intelligence and 18 papers in Media Technology. Recurrent topics in Zechao Li's work include Advanced Image and Video Retrieval Techniques (75 papers), Image Retrieval and Classification Techniques (49 papers) and Multimodal Machine Learning Applications (31 papers). Zechao Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (75 papers), Image Retrieval and Classification Techniques (49 papers) and Multimodal Machine Learning Applications (31 papers). Zechao Li collaborates with scholars based in China, United States and Singapore. Zechao Li's co-authors include Jinhui Tang, Hanqing Lu, Xiangbo Shu, Guo-Jun Qi, Hao Tang, Tao Mei, Jinshan Pan, Lu Jin, Runde Li and Jing Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and ACS Applied Materials & Interfaces.

In The Last Decade

Zechao Li

160 papers receiving 6.5k citations

Hit Papers

Single Image Dehazing via Conditional Generative Adve... 2013 2026 2017 2021 2018 2018 2015 2013 2022 100 200 300
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. Single Image Dehazing via Conditional Generative Adversarial Network
    2018 326 citations Runde Li, Jinshan Pan et al. profile →
  2. Deep Collaborative Embedding for Social Image Understanding
    2018 325 citations Zechao Li, Jinhui Tang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  3. Robust Structured Subspace Learning for Data Representation
    2015 306 citations Zechao Li, Jinhui Tang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  4. Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection
    2013 258 citations Zechao Li et al. profile →
  5. Learning attention-guided pyramidal features for few-shot fine-grained recognition
    2022 190 citations Hao Tang, Zechao Li et al. profile →
  6. Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
    2024 52 citations Hao Tang, Zechao Li et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  7. IMAGDressing-v1: Customizable Virtual Dressing
    2025 21 citations Zechao Li, Jinhui Tang 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
Zechao Li China 45 5.0k 2.4k 888 470 325 167 6.7k
Fumin Shen China 45 6.1k 1.2× 2.9k 1.2× 539 0.6× 338 0.7× 309 1.0× 205 7.7k
Jianping Fan China 38 3.6k 0.7× 2.0k 0.8× 602 0.7× 526 1.1× 426 1.3× 275 5.5k
Yiu‐ming Cheung Hong Kong 43 3.5k 0.7× 2.7k 1.1× 704 0.8× 816 1.7× 361 1.1× 362 6.8k
Tongliang Liu Australia 46 3.8k 0.8× 3.6k 1.5× 685 0.8× 344 0.7× 209 0.6× 186 6.7k
Jun Guo China 39 3.1k 0.6× 2.0k 0.8× 737 0.8× 669 1.4× 528 1.6× 352 5.8k
Jun Yu China 44 6.8k 1.4× 3.4k 1.4× 948 1.1× 551 1.2× 325 1.0× 276 9.5k
Joey Tianyi Zhou Singapore 42 3.7k 0.7× 3.4k 1.4× 712 0.8× 381 0.8× 195 0.6× 172 6.5k
Guo-Jun Qi United States 52 5.3k 1.1× 3.6k 1.5× 556 0.6× 521 1.1× 452 1.4× 215 8.7k
Baocai Yin China 39 4.1k 0.8× 1.4k 0.6× 769 0.9× 666 1.4× 219 0.7× 446 7.8k
Xi Peng China 43 4.7k 0.9× 3.1k 1.3× 1.2k 1.3× 363 0.8× 157 0.5× 163 6.7k

Countries citing papers authored by Zechao Li

Since Specialization
Citations

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

Fields of papers citing papers by Zechao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zechao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zechao Li. A scholar is included among the top collaborators of Zechao Li 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 Zechao Li. Zechao Li 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.
Sun, Qingqing, Mohd Aadil Bhat, Na Liu, et al.. (2025). Evaluation of water environmental capacity in a northern river-reservoir continuum using environmental fluid dynamics code. The Science of The Total Environment. 959. 178274–178274. 1 indexed citations
2.
Tang, Hao, et al.. (2025). Gradient Pruning Interactive Attack for Vision-Language Pre-Training Models. IEEE Transactions on Dependable and Secure Computing. 23(2). 2198–2214. 1 indexed citations
3.
Tang, Hao, et al.. (2024). ADPS: Asymmetric Distillation Postsegmentation for Image Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7051–7064. 8 indexed citations
4.
Zhang, Chao, Xiuyi Jia, Zechao Li, Chunlin Chen, & Huaxiong Li. (2024). Learning Cluster-Wise Anchors for Multi-View Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16696–16704. 30 indexed citations
5.
Xiang, Xinguang, et al.. (2024). Alleviating Over-Fitting in Hashing-Based Fine-Grained Image Retrieval: From Causal Feature Learning to Binary-Injected Hash Learning. IEEE Transactions on Multimedia. 26. 10665–10677. 2 indexed citations
6.
Pan, Yonghua, Jing Liu, Lu Jin, & Zechao Li. (2024). Unbiased Visual Question Answering by Leveraging Instrumental Variable. IEEE Transactions on Multimedia. 26. 6648–6662. 3 indexed citations
7.
Jin, Lu, et al.. (2023). Self-Paced Relational Contrastive Hashing for Large-Scale Image Retrieval. IEEE Transactions on Multimedia. 26. 3392–3404. 12 indexed citations
8.
Li, Yiran, et al.. (2023). Thermal-visible stereo matching at night based on Multi-Modal Autoencoder. Infrared Physics & Technology. 136. 105010–105010. 2 indexed citations
9.
Jin, Lu, Zechao Li, Yonghua Pan, & Jinhui Tang. (2023). Relational Consistency Induced Self-Supervised Hashing for Image Retrieval. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1482–1494. 4 indexed citations
10.
Li, Zechao, Hao Tang, Zhimao Peng, Guo-Jun Qi, & Jinhui Tang. (2023). Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition. IEEE Transactions on Neural Networks and Learning Systems. 36(11). 19474–19488. 90 indexed citations
11.
Liu, Xuejing, et al.. (2023). Context Disentangling and Prototype Inheriting for Robust Visual Grounding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3213–3229. 22 indexed citations
12.
Fu, Liyong, et al.. (2022). MMatch: Semi-Supervised Discriminative Representation Learning for Multi-View Classification. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 6425–6436. 27 indexed citations
13.
Li, Runde, et al.. (2020). Task-Oriented Network for Image Dehazing. IEEE Transactions on Image Processing. 29. 6523–6534. 39 indexed citations
14.
Tang, Jinhui, Xiangbo Shu, Zechao Li, Yu–Gang Jiang, & Qi Tian. (2019). Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(8). 2027–2034. 72 indexed citations
15.
Jin, Lu, Kai Li, Zechao Li, et al.. (2018). Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search. IEEE Transactions on Neural Networks and Learning Systems. 30(5). 1429–1440. 65 indexed citations
16.
Tang, Jinhui, et al.. (2018). Discriminative Deep Quantization Hashing for Face Image Retrieval. IEEE Transactions on Neural Networks and Learning Systems. 29(12). 6154–6162. 56 indexed citations
17.
Jiang, Yu–Gang, Zuxuan Wu, Jinhui Tang, et al.. (2018). Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification. IEEE Transactions on Multimedia. 20(11). 3137–3147. 93 indexed citations
18.
Jin, Lu, Xiangbo Shu, Kai Li, et al.. (2018). Deep Ordinal Hashing With Spatial Attention. IEEE Transactions on Image Processing. 28(5). 2173–2186. 81 indexed citations
19.
Shu, Xiangbo, et al.. (2017). Personalized Age Progression with Bi-Level Aging Dictionary Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(4). 905–917. 95 indexed citations
20.
Tang, Jinhui & Zechao Li. (2017). Weakly Supervised Multimodal Hashing for Scalable Social Image Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 28(10). 2730–2741. 67 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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