Jun Tao

878 total citations
60 papers, 570 citations indexed

About

Jun Tao is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Jun Tao has authored 60 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Graphics and Computer-Aided Design and 14 papers in Artificial Intelligence. Recurrent topics in Jun Tao's work include Data Visualization and Analytics (18 papers), Computer Graphics and Visualization Techniques (16 papers) and Video Analysis and Summarization (8 papers). Jun Tao is often cited by papers focused on Data Visualization and Analytics (18 papers), Computer Graphics and Visualization Techniques (16 papers) and Video Analysis and Summarization (8 papers). Jun Tao collaborates with scholars based in China, United States and Hong Kong. Jun Tao's co-authors include Chaoli Wang, Jun Han, Ching-Kuang Shene, Jun Ma, Nitesh V. Chawla, Hanqi Guo, Chao Huang, Zhisheng Zhang, Jun Ma and Danny Z. Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Jun Tao

56 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Tao China	13	298	114	112	78	64	60	570
Hans Hagen Germany	7	278 0.9×	70 0.6×	223 2.0×	46 0.6×	140 2.2×	18	590
Jonathan Woodring United States	17	515 1.7×	190 1.7×	233 2.1×	183 2.3×	52 0.8×	39	876
Lloyd A. Treinish United States	17	484 1.6×	143 1.3×	191 1.7×	103 1.3×	29 0.5×	60	1.0k
Livia Marcellino Italy	15	134 0.4×	81 0.7×	21 0.2×	43 0.6×	96 1.5×	56	512
Sizhe Wang China	14	346 1.2×	116 1.0×	25 0.2×	49 0.6×	17 0.3×	48	697
Byungsoo Kim South Korea	15	287 1.0×	59 0.5×	82 0.7×	33 0.4×	64 1.0×	49	652
Ofir Pele Israel	8	319 1.1×	188 1.6×	24 0.2×	63 0.8×	50 0.8×	11	644
Koji Koyamada Japan	13	354 1.2×	53 0.5×	328 2.9×	54 0.7×	172 2.7×	106	650
Kevin Verbeek Netherlands	11	214 0.7×	56 0.5×	77 0.7×	113 1.4×	9 0.1×	42	427
Mahsa Mirzargar United States	11	269 0.9×	108 0.9×	90 0.8×	51 0.7×	61 1.0×	28	589

Countries citing papers authored by Jun Tao

Since Specialization

Citations

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

Fields of papers citing papers by Jun Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tao. A scholar is included among the top collaborators of Jun Tao 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 Jun Tao. Jun Tao 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

Tang, Yuzhe, et al.. (2025). TELEX: Two-Level Learned Index for Rich Queries on Enclave-based Blockchain Systems. IEEE Transactions on Knowledge and Data Engineering. 1–16. 3 indexed citations

Tao, Jun, et al.. (2025). FlowLLM: Large language model driven flow visualization. Visual Informatics. 9(3). 100241–100241.

Tao, Jun, et al.. (2025). A quantitative analysis of knowledge-learning preferences in large language models in molecular science. Nature Machine Intelligence. 7(2). 315–327. 1 indexed citations

Tao, Jun, et al.. (2025). RHS-YOLOv8: A Lightweight Underwater Small Object Detection Algorithm Based on Improved YOLOv8. Applied Sciences. 15(7). 3778–3778. 2 indexed citations

Jia, Wei, et al.. (2025). A Deep Learning Model for Efficient Nontargeted Screening of New Psychoactive Substances with Benchtop Nuclear Magnetic Resonance Devices. Analytical Chemistry. 97(50). 27903–27912.

Wang, Lutao, et al.. (2024). Preparation, characterization and properties of inclusion complexes of β-ionone with acyclic cucurbit[n]urils. Journal of Molecular Structure. 1310. 138275–138275. 2 indexed citations

Tao, Jun, Yu Zhang, Qing Chen, et al.. (2023). Intelligent visualization and visual analytics. Journal of Image and Graphics. 28(6). 1909–1926. 1 indexed citations

Tao, Jun, et al.. (2023). Neural Monte Carlo rendering of finite-time Lyapunov exponent fields. 1(1). 3 indexed citations

Tao, Jun, et al.. (2022). FlowNL: Asking the Flow Data in Natural Languages. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–11. 11 indexed citations

10.

Gao, Wang, Lin Li, Xiaohui Tao, Jing Zhou, & Jun Tao. (2022). Identifying informative tweets during a pandemic via a topic-aware neural language model. World Wide Web. 26(1). 55–70. 8 indexed citations

11.

Li, Ling, et al.. (2022). Smoking Detection and Alarm in Multiple Scenes Based on Deep Learning. 2022 34th Chinese Control and Decision Conference (CCDC). 29. 6212–6217. 1 indexed citations

12.

Li, Ling, et al.. (2022). Pedestrian Detection and Feedback Application Based on YOLOv5s and DeepSORT. 2022 34th Chinese Control and Decision Conference (CCDC). 5716–5721. 5 indexed citations

13.

Li, Jiawei, Zhiwei Han, Vanisa Surapipith, et al.. (2022). Direct and indirect effects and feedbacks of biomass burning aerosols over Mainland Southeast Asia and South China in springtime. The Science of The Total Environment. 842. 156949–156949. 25 indexed citations

14.

Tao, Jun, et al.. (2022). SD²: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. IEEE Transactions on Visualization and Computer Graphics. 29(8). 3569–3585. 3 indexed citations

15.

Li, Ling, et al.. (2021). Research on Gesture Recognition Based on YOLOv5. 801–806. 6 indexed citations

16.

Chen, Pin, Yan Hui, Yangzhong Li, et al.. (2020). 3DStructGen: an interactive web-based 3D structure generation for non-periodic molecule and crystal. Journal of Cheminformatics. 12(1). 7–7. 5 indexed citations

17.

Han, Jun, Jun Tao, Hao Zheng, et al.. (2019). Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning. IEEE Computer Graphics and Applications. 39(4). 54–67. 32 indexed citations

18.

Tao, Jun, et al.. (2017). Efficient GPU-accelerated computation of isosurface similarity maps. 180–184. 5 indexed citations

19.

Zhang, Huan, et al.. (2013). A study of animated transition in similarity-based tiled image layout. Tsinghua Science & Technology. 18(2). 157–170. 1 indexed citations

20.

Tao, Jun, Jun Ma, Chaoli Wang, & Ching-Kuang Shene. (2012). A Unified Approach to Streamline Selection and Viewpoint Selection for 3D Flow Visualization. IEEE Transactions on Visualization and Computer Graphics. 19(3). 393–406. 58 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