Tao Jiang

2.6k total citations · 1 hit paper
113 papers, 1.6k citations indexed

About

Tao Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Tao Jiang has authored 113 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 41 papers in Computer Vision and Pattern Recognition and 22 papers in Media Technology. Recurrent topics in Tao Jiang's work include AI in cancer detection (25 papers), Cell Image Analysis Techniques (19 papers) and Image Processing Techniques and Applications (19 papers). Tao Jiang is often cited by papers focused on AI in cancer detection (25 papers), Cell Image Analysis Techniques (19 papers) and Image Processing Techniques and Applications (19 papers). Tao Jiang collaborates with scholars based in China, Germany and United States. Tao Jiang's co-authors include Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Jinghua Zhang, Yudong Yao, Changhao Sun, Xiaoyan Li, Kimiaki Shirahama, Shouliang Qi and Sergey Kosov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Tao Jiang

93 papers receiving 1.5k citations

Hit Papers

LCU-Net: A novel low-cost... 2021 2026 2022 2024 2021 50 100 150
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. LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation
    2021 174 citations Jinghua Zhang, Chen Li et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tao Jiang China 20 705 492 347 243 204 113 1.6k
Hien Van Nguyen United States 25 605 0.9× 839 1.7× 225 0.6× 285 1.2× 117 0.6× 70 2.0k
Shyam Lal India 22 604 0.9× 771 1.6× 336 1.0× 423 1.7× 79 0.4× 123 1.5k
Md Mamunur Rahaman China 21 1.3k 1.8× 629 1.3× 865 2.5× 215 0.9× 245 1.2× 46 2.0k
Şaban Öztürk Türkiye 23 570 0.8× 537 1.1× 456 1.3× 91 0.4× 39 0.2× 63 1.6k
Yuqian Zhao China 20 264 0.4× 664 1.3× 296 0.9× 161 0.7× 57 0.3× 99 1.2k
Mathilde Caron United States 5 1.4k 2.0× 1.8k 3.7× 335 1.0× 267 1.1× 73 0.4× 10 3.1k
Haoqian Wang China 26 446 0.6× 1.5k 3.1× 264 0.8× 643 2.6× 248 1.2× 144 3.0k
Shadrokh Samavi Iran 23 470 0.7× 1.4k 2.9× 305 0.9× 618 2.5× 84 0.4× 156 2.3k
Tao Wan China 27 719 1.0× 1.0k 2.1× 367 1.1× 414 1.7× 47 0.2× 154 2.6k
Mrinal Mandal Canada 30 752 1.1× 1.5k 3.0× 373 1.1× 218 0.9× 227 1.1× 158 3.0k

Countries citing papers authored by Tao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Tao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Jiang. A scholar is included among the top collaborators of Tao Jiang 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 Tao Jiang. Tao Jiang 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.
Jiang, Tao, et al.. (2025). Constraining an Unconstrained Multi-agent Policy with offline data. Neural Networks. 186. 107253–107253.
2.
3.
Jiang, Tao, Ying Li, Ying Li, et al.. (2025). A segmentation knowledge-based global-local attention network for tumor classification in breast ultrasound images. Pattern Recognition. 171. 112152–112152.
4.
Jiang, Tao, et al.. (2024). Effective attention model for global sea surface temperature prediction. Expert Systems with Applications. 254. 124411–124411. 8 indexed citations
5.
Zhang, Yuxiang, Jianhua Zhang, Yanbo Pei, Yameng Liu, & Tao Jiang. (2024). Latest progress for 3GPP ISAC channel modeling standardization. Science China Information Sciences. 67(11). 7 indexed citations
6.
7.
Wu, Xiangchen, Changzhong Li, Changzhong Li, et al.. (2023). CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. Computers in Biology and Medicine. 162. 107070–107070. 38 indexed citations
8.
Hu, Weiming, Xintong Li, Xintong Li, et al.. (2023). A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers. Computers in Biology and Medicine. 161. 107034–107034. 41 indexed citations
9.
Qu, Zhaoyang, Yunchang Dong, Nan Qu, et al.. (2023). An efficient multi-order cascade distillation model for the detection of small targets and occluded objects in transmission line inspection. Measurement. 225. 114000–114000. 2 indexed citations
10.
Gan, Yi, et al.. (2023). An Easily Overlooked Disease: Hemophagocytic Syndrome. Clinical Laboratory. 69(11/2023). 1 indexed citations
11.
Li, Chen, Md Mamunur Rahaman, Hao Xu, et al.. (2022). A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): From Convolutional Neural Networks to Visual Transformers. Frontiers in Microbiology. 13. 792166–792166. 39 indexed citations
12.
Yu, Li, Yuxiang Zhang, Jianhua Zhang, et al.. (2022). Diffraction Characteristics Aided Blockage and Beam Prediction for mmWave Communications. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 1–5. 4 indexed citations
13.
Li, Zihan, Chen Li, Yudong Yao, et al.. (2021). EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks. PLoS ONE. 16(5). e0250631–e0250631. 12 indexed citations
14.
Li, Chen, Frank Kulwa, Md Mamunur Rahaman, et al.. (2020). Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos. IEEE Access. 8. 114519–114540. 12 indexed citations
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16.
Zhou, Nan, et al.. (2019). Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation. IEEE Transactions on Neural Networks and Learning Systems. 31(10). 3877–3891. 17 indexed citations
17.
Xu, Lin, Qian Zheng, & Tao Jiang. (2018). Improved Parallel Magnertic Resonance Imaging reconstruction with Complex Proximal Support Vector Regression. Scientific Reports. 8(1). 15093–15093. 2 indexed citations
18.
Shirahama, Kimiaki, et al.. (2017). Content-based Image Retrieval of Environmental Microorganisms Using Double-stage Optimisation-based Fusion. 3(4). 43–53. 5 indexed citations
19.
Jiang, Tao. (2006). Application of VPN Technology. 1 indexed citations
20.
Jiang, Tao. (2005). Research on linear phase cosine modulated filter banks. Information technology newsletter. 1 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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