Ziqiang Cao

2.8k total citations
38 papers, 1.0k citations indexed

About

Ziqiang Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ziqiang Cao has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Ziqiang Cao's work include Topic Modeling (23 papers), Natural Language Processing Techniques (22 papers) and Advanced Text Analysis Techniques (9 papers). Ziqiang Cao is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (22 papers) and Advanced Text Analysis Techniques (9 papers). Ziqiang Cao collaborates with scholars based in China, Hong Kong and United States. Ziqiang Cao's co-authors include Sujian Li, Wenjie Li, Furu Wei, Li Dong, Ming Zhou, Heng Ji, Yang Liu, Liang Wang, Ming Zhou and Houfeng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Ziqiang Cao

31 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziqiang Cao China 13 887 148 85 34 30 38 1.0k
Sérgio Canuto Brazil 13 333 0.4× 45 0.3× 114 1.3× 37 1.1× 14 0.5× 25 424
Anastasia Shimorina France 6 396 0.4× 67 0.5× 50 0.6× 27 0.8× 26 0.9× 11 478
Lei Sha China 14 720 0.8× 146 1.0× 168 2.0× 71 2.1× 25 0.8× 35 759
Shuohuan Wang China 7 527 0.6× 131 0.9× 75 0.9× 21 0.6× 22 0.7× 15 605
Haoruo Peng United States 12 386 0.4× 62 0.4× 49 0.6× 33 1.0× 22 0.7× 21 471
Vítor Mangaravite Brazil 5 382 0.4× 38 0.3× 130 1.5× 22 0.6× 31 1.0× 10 458
Zhiyang Teng China 12 517 0.6× 75 0.5× 61 0.7× 79 2.3× 16 0.5× 25 640
Fréderic Godin Belgium 7 285 0.3× 42 0.3× 107 1.3× 19 0.6× 80 2.7× 18 436
Mihir Kale United States 7 942 1.1× 220 1.5× 85 1.0× 34 1.0× 26 0.9× 9 1.0k
Leyang Cui China 11 588 0.7× 110 0.7× 57 0.7× 29 0.9× 30 1.0× 37 658

Countries citing papers authored by Ziqiang Cao

Since Specialization
Citations

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

Fields of papers citing papers by Ziqiang Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziqiang Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Ziqiang Cao. A scholar is included among the top collaborators of Ziqiang Cao 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 Ziqiang Cao. Ziqiang Cao 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.
Cao, Ziqiang, et al.. (2025). Sparse multi-label feature selection via pseudo-label learning and dynamic graph constraints. Information Fusion. 118. 102975–102975. 3 indexed citations
2.
Jun, Gao, Yongqi Li, Ziqiang Cao, & Wenjie Li. (2025). Interleaved-Modal Chain-of-Thought. 19520–19529.
3.
Cao, Ziqiang, et al.. (2025). Adaptive Sparse Softmax: An Effective and Efficient Softmax Variant. IEEE Transactions on Audio Speech and Language Processing. 33. 3148–3159.
4.
Cao, Ziqiang, et al.. (2024). Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization. 7551–7558. 6 indexed citations
5.
Yuan, Ruifeng, et al.. (2024). Dialogue acts enhanced extract–abstract framework for meeting summarization. Information Processing & Management. 61(3). 103635–103635. 2 indexed citations
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7.
Yuan, Ruifeng, Zili Wang, Ziqiang Cao, & Wenjie Li. (2023). Preserve Context Information for Extract-Generate Long-Input Summarization Framework. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13932–13939. 1 indexed citations
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Cao, Min, et al.. (2023). RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. 555–563. 51 indexed citations
12.
Cao, Min, et al.. (2023). Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 5132–5145. 3 indexed citations
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Wang, Zili, et al.. (2022). Few-shot Query-Focused Summarization with Prefix-Merging. 3704–3714. 3 indexed citations
15.
Wang, Tong, et al.. (2022). Anomaly Detection Based on Convex Analysis: A Survey. Frontiers in Physics. 10. 3 indexed citations
16.
Li, Yanran, Ruixiang Zhang, Wenjie Li, & Ziqiang Cao. (2020). Hierarchical Prediction and Adversarial Learning For Conditional Response Generation. IEEE Transactions on Knowledge and Data Engineering. 34(1). 314–327. 6 indexed citations
17.
Cao, Ziqiang, et al.. (2020). Review of pedestrian tracking: Algorithms and applications. Acta Physica Sinica. 69(8). 84203–84203. 4 indexed citations
18.
Cao, Ziqiang, Furu Wei, Wenjie Li, & Sujian Li. (2018). Faithful to the Original: Fact Aware Neural Abstractive Summarization. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 202 indexed citations
19.
Cao, Ziqiang, et al.. (2016). TGSum: Build Tweet Guided Multi-Document Summarization Dataset. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 10 indexed citations
20.
Cao, Ziqiang, Furu Wei, Sujian Li, et al.. (2015). Learning Summary Prior Representation for Extractive Summarization. 829–833. 81 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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