Da Cao

1.6k total citations
42 papers, 1.0k citations indexed

About

Da Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Da Cao has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Da Cao's work include Multimodal Machine Learning Applications (20 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Video Analysis and Summarization (11 papers). Da Cao is often cited by papers focused on Multimodal Machine Learning Applications (20 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Video Analysis and Summarization (11 papers). Da Cao collaborates with scholars based in China, Singapore and United States. Da Cao's co-authors include Liqiang Nie, Xiangnan He, Xiaochi Wei, Richang Hong, Chao Yang, Tat‐Seng Chua, Yahui An, Yawen Zeng, Qi Tian and Meng Liu and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Da Cao

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Da Cao China	16	491	488	449	85	65	42	1.0k
Xiaoxuan Shen China	12	495 1.0×	247 0.5×	456 1.0×	127 1.5×	69 1.1×	38	915
Pipei Huang China	7	549 1.1×	299 0.6×	654 1.5×	24 0.3×	125 1.9×	10	952
Minsuk Kahng United States	14	563 1.1×	454 0.9×	228 0.5×	27 0.3×	99 1.5×	41	1.0k
Lucas Drumond Germany	13	534 1.1×	175 0.4×	593 1.3×	212 2.5×	94 1.4×	32	914
Haifeng Liu China	12	353 0.7×	259 0.5×	582 1.3×	22 0.3×	125 1.9×	33	834
Jinoh Oh South Korea	14	662 1.3×	324 0.7×	812 1.8×	32 0.4×	153 2.4×	30	1.1k
Leandro Balby Marinho Brazil	15	490 1.0×	242 0.5×	794 1.8×	46 0.5×	177 2.7×	51	1.1k
Kan Li China	19	429 0.9×	197 0.4×	270 0.6×	97 1.1×	115 1.8×	99	984
Xin Xin China	19	593 1.2×	169 0.3×	625 1.4×	29 0.3×	135 2.1×	82	1.0k
Alper Bilge Türkiye	17	573 1.2×	204 0.4×	885 2.0×	61 0.7×	171 2.6×	44	1.1k

Countries citing papers authored by Da Cao

Since Specialization

Citations

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

Fields of papers citing papers by Da Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Cao

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

All Works

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20 of 20 papers shown

Luo, Shu, et al.. (2025). Spatial–temporal video grounding with cross-modal understanding and enhancement. Expert Systems with Applications. 271. 126650–126650.

Cao, Da, et al.. (2025). AutoVMR: An autonomous event generation and localization approach for video moment retrieval. Information Sciences. 721. 122615–122615.

Cao, Da, et al.. (2024). Causal-driven Large Language Models with Faithful Reasoning for Knowledge Question Answering. 4331–4340. 2 indexed citations

Quan, Zhe, et al.. (2024). $\boldsymbol{R}^{2}$: A Novel Recall & Ranking Framework for Legal Judgment Prediction. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1609–1622. 3 indexed citations

Liu, Meng, et al.. (2024). Universal Relocalizer for Weakly Supervised Referring Expression Grounding. ACM Transactions on Multimedia Computing Communications and Applications. 20(7). 1–23. 1 indexed citations

Cao, Da, et al.. (2024). Graph Reasoning With Supervised Contrastive Learning for Legal Judgment Prediction. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 2801–2815. 2 indexed citations

Zeng, Yuwen, et al.. (2023). Keyword-Based Diverse Image Retrieval With Variational Multiple Instance Graph.. PubMed. 34(12). 10528–10537. 1 indexed citations

Zeng, Yawen, et al.. (2022). Vision talks: Visual relationship-enhanced transformer for video-guided machine translation. Expert Systems with Applications. 209. 118264–118264. 3 indexed citations

Qu, Leigang, Meng Liu, Da Cao, Liqiang Nie, & Qi Tian. (2020). Context-Aware Multi-View Summarization Network for Image-Text Matching. 1047–1055. 102 indexed citations

10.

Song, Xuemeng, et al.. (2019). Virtually Trying on New Clothing with Arbitrary Poses. 266–274. 47 indexed citations

11.

Yuan, Jin, et al.. (2019). Multi-criteria active deep learning for image classification. Knowledge-Based Systems. 172. 86–94. 42 indexed citations

12.

Cao, Da, et al.. (2019). Video-Based Cross-Modal Recipe Retrieval. 1685–1693. 25 indexed citations

13.

Cao, Da, et al.. (2019). Cross-modal recipe retrieval via parallel- and cross-attention networks learning. Knowledge-Based Systems. 193. 105428–105428. 13 indexed citations

14.

Cao, Da, et al.. (2019). Multi-modal product title compression. Information Processing & Management. 57(1). 102123–102123. 14 indexed citations

15.

Brinton, Christopher G., Liang Zheng, Da Cao, et al.. (2018). On the Efficiency of Online Social Learning Networks. IEEE/ACM Transactions on Networking. 26(5). 2076–2089. 15 indexed citations

16.

Chen, Wei-Yu, Andrew Lan, Da Cao, Christopher G. Brinton, & Mung Chiang. (2018). Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams.. Educational Data Mining. 10 indexed citations

17.

Chen, Wei-Yu, et al.. (2018). Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors. IEEE Transactions on Learning Technologies. 12(1). 44–58. 41 indexed citations

18.

Chen, Wei-Yu, Carlee Joe‐Wong, Christopher G. Brinton, Liang Zheng, & Da Cao. (2018). Principles for assessing adaptive online courses. Educational Data Mining. 3 indexed citations

19.

Cao, Da, Liqiang Nie, Xiangnan He, et al.. (2017). Embedding Factorization Models for Jointly Recommending Items and User Generated Lists. National University of Singapore. 585–594. 92 indexed citations

20.

Chen, Wei-Yu, Christopher G. Brinton, Da Cao, & Mung Chiang. (2017). Behavior in social learning networks: Early detection for online short-courses. 1–9. 5 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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