Donglin Cao

2.8k total citations · 1 hit paper
60 papers, 1.9k citations indexed

About

Donglin Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Donglin Cao has authored 60 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Donglin Cao's work include Sentiment Analysis and Opinion Mining (18 papers), Advanced Text Analysis Techniques (15 papers) and Text and Document Classification Technologies (10 papers). Donglin Cao is often cited by papers focused on Sentiment Analysis and Opinion Mining (18 papers), Advanced Text Analysis Techniques (15 papers) and Text and Document Classification Technologies (10 papers). Donglin Cao collaborates with scholars based in China, Singapore and United States. Donglin Cao's co-authors include Shaozi Li, Zhun Zhong, Liang Zheng, Rongrong Ji, Dazhen Lin, Fuhai Chen, Songzhi Su, Yue Gao, Lingxiao Li and Yanping Lv and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Donglin Cao

55 papers receiving 1.9k citations

Hit Papers

1 papers align trajectories

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.

Re-ranking Person Re-identification with k-Reciprocal Encoding

2017 1.1k citations Zhun Zhong, Liang Zheng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donglin Cao China	15	1.4k	613	479	157	78	60	1.9k
Barbara Rosario United States	11	960 0.7×	734 1.2×	95 0.2×	81 0.5×	38 0.5×	19	1.6k
Hong-Han Shuai Taiwan	21	745 0.5×	494 0.8×	57 0.1×	138 0.9×	70 0.9×	119	1.5k
Weili Guan China	23	925 0.7×	664 1.1×	71 0.1×	182 1.2×	33 0.4×	88	1.5k
Ankush Mittal India	19	510 0.4×	429 0.7×	76 0.2×	127 0.8×	102 1.3×	123	1.4k
Jian Wan China	14	496 0.4×	341 0.6×	85 0.2×	203 1.3×	30 0.4×	69	1.3k
Vasileios Mezaris Greece	27	1.8k 1.3×	647 1.1×	80 0.2×	177 1.1×	183 2.3×	169	2.4k
Harsh Kumar Verma India	18	360 0.3×	223 0.4×	114 0.2×	188 1.2×	30 0.4×	134	1.1k
Jianguo Jiang China	17	856 0.6×	120 0.2×	221 0.5×	34 0.2×	24 0.3×	88	1.2k
Bing‐Kun Bao China	19	926 0.7×	311 0.5×	79 0.2×	98 0.6×	25 0.3×	85	1.3k

Countries citing papers authored by Donglin Cao

Since Specialization

Citations

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

Fields of papers citing papers by Donglin Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donglin Cao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Cao, Donglin, et al.. (2025). Short video rumor detection based on causal graph. Information Sciences. 703. 121941–121941. 1 indexed citations

2.

Xu, Zhiyuan, Zhongyuan Cheng, Yang‐Chang Wu, et al.. (2025). Integrating Tumor Hypoxic Sensing and Photothermal Therapy Using a Miniaturized Fiber‐Optic Theranostic Probe. Small Science. 5(2). 1 indexed citations

3.

Liu, Tingting, Shiqi Hu, Shilei Ding, et al.. (2025). Algorithm assisted comprehensive optimization of SPR sensors towards single molecule detection. Biosensors and Bioelectronics. 289. 117846–117846. 2 indexed citations

4.

Zhou, Cuiping, et al.. (2025). A multi-channel chip enabled synchronized reciprocating-flow of fluid for rapid, simultaneous, multiplex detection of inflammatory markers. Lab on a Chip. 25(14). 3506–3515.

5.

Liu, Meilin, et al.. (2024). Nanothermometry for cellular temperature monitoring and disease diagnostics. SHILAP Revista de lepidopterología. 2(2). 10 indexed citations

6.

Liu, Meilin, et al.. (2024). Nanothermometry for Cellular Temperature Monitoring and Disease Diagnostics (2/2024). 2(2). 3 indexed citations

7.

Cao, Donglin, et al.. (2024). Evidence-Aware Multimodal Chinese Social Media Rumor Detection. 8376–8380. 1 indexed citations

8.

Wang, Xin, et al.. (2024). An autoencoder-based self-supervised learning for multimodal sentiment analysis. Information Sciences. 675. 120682–120682. 5 indexed citations

9.

Xu, Zhiyuan, Zhongyuan Cheng, Yang‐Chang Wu, et al.. (2024). Integrating Tumor Hypoxic Sensing and Photothermal Therapy Using a Miniaturized Fiber‐Optic Theranostic Probe. SHILAP Revista de lepidopterología. 5(2). 2400450–2400450. 8 indexed citations

10.

Yang, Fengxiang, Zhun Zhong, Hong Liu, et al.. (2022). Towards Robust Person Re-Identification by Defending Against Universal Attackers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–17. 9 indexed citations

11.

Ye, Kai, et al.. (2022). Solving large-scale multiobjective optimization via the probabilistic prediction model. Memetic Computing. 14(2). 165–177. 13 indexed citations

12.

Chen, Fuhai, Rongrong Ji, Jinsong Su, Donglin Cao, & Yue Gao. (2017). Predicting Microblog Sentiments via Weakly Supervised Multimodal Deep Learning. IEEE Transactions on Multimedia. 20(4). 997–1007. 67 indexed citations

13.

Zhong, Zhun, Liang Zheng, Donglin Cao, & Shaozi Li. (2017). Re-ranking Person Re-identification with k-Reciprocal Encoding. 3652–3661. 1067 indexed citations breakdown →

14.

Lin, Dazhen, et al.. (2017). Multi-modal Sentiment Feature Learning Based on Sentiment Signal. 33–40.

15.

Cao, Donglin, Dazhen Lin, & Yanping Lv. (2014). ECG codebook model for Myocardial Infarction detection. 59. 797–801. 3 indexed citations

16.

Cao, Donglin. (2010). Blog Emergent Event Detection Based on Temporal Distribution. Computer Engineering and Science. 1 indexed citations

17.

Cao, Donglin, et al.. (2008). Blog post and comment extraction using information quantity of web format. 298–309. 5 indexed citations

18.

Cao, Donglin, et al.. (2007). Experiments in Trec 2007 Blog Opinion Task at CAS-ICT. Text REtrieval Conference. 2 indexed citations

19.

Cao, Donglin, et al.. (2006). Combining Language Model with Sentiment Analysis for Opinion Retrieval of Blog-Post.. Text REtrieval Conference. 9 indexed citations

20.

Venkatesh, Y.V., et al.. (2002). Segmentation of color images using a two-stage self-organizing network. Image and Vision Computing. 20(4). 279–289. 73 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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