Juan Cao

9.6k total citations · 9 hit papers
136 papers, 5.7k citations indexed

About

Juan Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Juan Cao has authored 136 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 30 papers in Sociology and Political Science. Recurrent topics in Juan Cao's work include Misinformation and Its Impacts (27 papers), Remote Sensing in Agriculture (21 papers) and Advanced Image and Video Retrieval Techniques (20 papers). Juan Cao is often cited by papers focused on Misinformation and Its Impacts (27 papers), Remote Sensing in Agriculture (21 papers) and Advanced Image and Video Retrieval Techniques (20 papers). Juan Cao collaborates with scholars based in China, United States and Singapore. Juan Cao's co-authors include Yongdong Zhang, Zhiwei Jin, Zhao Zhang, Sheng Tang, Yuchuan Luo, Jiebo Luo, Fulu Tao, Jintao Li, Jichong Han and Han Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Juan Cao

128 papers receiving 5.6k citations

Hit Papers

A density-based method for adaptive LDA model selection 2008 2026 2014 2020 2008 2020 2017 2016 2020 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. A density-based method for adaptive LDA model selection
    2008 571 citations Juan Cao, Jintao Li et al. profile →
  2. CGNet: A Light-Weight Context Guided Network for Semantic Segmentation
    2020 489 citations Tianyi Wu, Sheng Tang et al. profile →
  3. Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs
    2017 474 citations Zhiwei Jin, Juan Cao et al. profile →
  4. Novel Visual and Statistical Image Features for Microblogs News Verification
    2016 298 citations Zhiwei Jin, Juan Cao et al. IEEE Transactions on Multimedia profile →
  5. Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches
    2020 249 citations Juan Cao, Zhao Zhang et al. profile →
  6. News Verification by Exploiting Conflicting Social Viewpoints in Microblogs
    2016 238 citations Zhiwei Jin, Juan Cao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  7. Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China
    2020 213 citations Jichong Han, Zhao Zhang et al. profile →
  8. MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection
    2022 148 citations Juan Cao et al. profile →
  9. Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
    2024 67 citations Qiang Sheng, Juan Cao 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
Juan Cao China 35 2.0k 1.8k 1.5k 1.0k 998 136 5.7k
Muki Haklay United Kingdom 42 895 0.4× 490 0.3× 519 0.4× 525 0.5× 628 0.6× 154 8.4k
Mark Hansen United States 41 732 0.4× 1.1k 0.6× 351 0.2× 1.0k 1.0× 398 0.4× 181 8.3k
Shaowen Wang United States 36 266 0.1× 448 0.2× 319 0.2× 224 0.2× 944 0.9× 223 5.6k
Cagatay Catal Türkiye 38 193 0.1× 1.2k 0.7× 2.1k 1.4× 423 0.4× 534 0.5× 140 6.3k
Carlo Ratti United States 74 1.3k 0.7× 665 0.4× 299 0.2× 1.9k 1.8× 185 0.2× 360 19.7k
Alexandros Karatzoglou Spain 25 166 0.1× 1.9k 1.0× 2.3k 1.6× 820 0.8× 256 0.3× 62 4.8k
Alan M. MacEachren United States 50 721 0.4× 1.3k 0.7× 348 0.2× 2.8k 2.7× 213 0.2× 186 8.3k
Marta C. González United States 48 1.2k 0.6× 444 0.2× 360 0.2× 587 0.6× 124 0.1× 134 13.3k
S. C. Sharma India 26 379 0.2× 603 0.3× 960 0.6× 216 0.2× 109 0.1× 143 5.4k
Kristian Kersting Germany 36 220 0.1× 2.2k 1.2× 377 0.3× 571 0.5× 464 0.5× 229 4.5k

Countries citing papers authored by Juan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Juan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Cao. A scholar is included among the top collaborators of Juan 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 Juan Cao. Juan 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.
2.
3.
Wang, Danding, et al.. (2025). Exploring news intent and its application: A theory-driven approach. Information Processing & Management. 62(6). 104229–104229. 1 indexed citations
4.
Nan, Qiong, et al.. (2025). Exploiting user comments for early detection of fake news prior to users’ commenting. Frontiers of Computer Science. 19(10). 2 indexed citations
5.
Tang, Fan, Yuxin Zhang, Oliver Deußen, et al.. (2024). A Comprehensive Evaluation of Arbitrary Image Style Transfer Methods. IEEE Transactions on Visualization and Computer Graphics. 31(9). 5668–5686.
6.
Wang, Fugang, Yi Sun, Juan Cao, et al.. (2023). Effects of Danggui-Shaoyao-San on central neuroendocrine and pharmacokinetics in female ovariectomized rats. Journal of Ethnopharmacology. 316. 116609–116609. 11 indexed citations
7.
Cao, Juan, Wende Yan, Taimoor Hassan Farooq, et al.. (2023). Ecological Stoichiometry of N and P across a Chronosequence of Chinese Fir Plantation Forests. Forests. 14(8). 1685–1685. 5 indexed citations
8.
Cheng, Fei, Zhao Zhang, Huimin Zhuang, et al.. (2023). ChinaCropSM1 km: a fine 1 km daily soil moisture dataset for dryland wheat and maize across China during 1993–2018. Earth system science data. 15(1). 395–409. 11 indexed citations
9.
Sheng, Qiang, et al.. (2023). Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. 116–125. 10 indexed citations
10.
Tang, Fan, Xingjia Pan, Juan Cao, et al.. (2023). ${A^{2}Pt}$: Anti-Associative Prompt Tuning for Open Set Visual Recognition. IEEE Transactions on Multimedia. 26. 8419–8431. 4 indexed citations
11.
Qi, Peng, et al.. (2023). FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14444–14452. 36 indexed citations
12.
13.
Wu, Tianyi, Sheng Tang, Rui Zhang, Juan Cao, & Jintao Li. (2019). Tree-Structured Kronecker Convolutional Network for Semantic Segmentation. 940–945. 26 indexed citations
14.
Jin, Zhiwei, Juan Cao, Han Guo, et al.. (2017). Rumor Detection on Twitter Pertaining to the 2016 U.S. Presidential Election.. arXiv (Cornell University). 2 indexed citations
15.
Cao, Juan, et al.. (2016). MCG-ICT at MediaEval 2016 Verifying Tweets from both Text and Visual Content.. MediaEval. 3 indexed citations
16.
Jin, Zhiwei, et al.. (2015). MCG-ICT at MediaEval 2015: Verifying Multimedia Use with a Two-Level Classification Model. MediaEval. 11 indexed citations
17.
Wang, Zhanghua, et al.. (2014). Dating recent sediments from the subaqueous Yangtze Delta and adjacent continental shelf, China. SHILAP Revista de lepidopterología. 5 indexed citations
18.
Cao, Juan. (2011). Study on Virtual Reality. 1 indexed citations
19.
Cao, Juan, et al.. (2010). Known-Item Search by MCG-ICT-CAS.. TRECVID. 1 indexed citations
20.
Chua, Tat‐Seng, Shi-Yong Neo, Yan-Tao Zheng, et al.. (2007). TRECVID 2007 Search Tasks by NUS-ICT. TRECVID. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Muki Haklay Breakdown of academic impact, for papers by Mark Hansen Breakdown of academic impact, for papers by Shaowen Wang Breakdown of academic impact, for papers by Cagatay Catal Breakdown of academic impact, for papers by Carlo Ratti Breakdown of academic impact, for papers by Alexandros Karatzoglou Breakdown of academic impact, for papers by Alan M. MacEachren Breakdown of academic impact, for papers by Marta C. González Breakdown of academic impact, for papers by S. C. Sharma Breakdown of academic impact, for papers by Kristian Kersting
Rankless by CCL
2026