Tao Ye

2.3k total citations · 1 hit paper
109 papers, 1.5k citations indexed

About

Tao Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tao Ye has authored 109 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 26 papers in Computer Networks and Communications. Recurrent topics in Tao Ye's work include Advanced Neural Network Applications (19 papers), Network Security and Intrusion Detection (9 papers) and Network Traffic and Congestion Control (9 papers). Tao Ye is often cited by papers focused on Advanced Neural Network Applications (19 papers), Network Security and Intrusion Detection (9 papers) and Network Traffic and Congestion Control (9 papers). Tao Ye collaborates with scholars based in China, United States and Finland. Tao Ye's co-authors include Shivkumar Kalyanaraman, Zongyang Zhao, Ashwin Sridharan, Hui Zang, Chen‐Nee Chuah, Jianning Mai, Xi Zhang, Fuqiang Zhou, Juan Li and Avinash Sridharan and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and European Journal of Operational Research.

In The Last Decade

Tao Ye

94 papers receiving 1.5k citations

Hit Papers

Real-Time Object Detection Network in UAV-Vision Based on... 2023 2026 2024 2025 2023 25 50 75
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. Real-Time Object Detection Network in UAV-Vision Based on CNN and Transformer
    2023 94 citations Tao Ye, Zongyang Zhao et al. IEEE Transactions on Instrumentation and Measurement 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 Ye China 23 571 497 421 161 149 109 1.5k
Xiangbing Zhou China 19 214 0.4× 706 1.4× 340 0.8× 108 0.7× 218 1.5× 48 1.8k
Kin‐Choong Yow Canada 26 261 0.5× 529 1.1× 757 1.8× 160 1.0× 316 2.1× 88 1.7k
Xiao Chen China 20 485 0.8× 443 0.9× 458 1.1× 367 2.3× 319 2.1× 130 2.1k
Zhaoquan Gu China 23 578 1.0× 766 1.5× 547 1.3× 300 1.9× 358 2.4× 165 2.2k
Siew-Kei Lam Singapore 17 326 0.6× 217 0.4× 378 0.9× 98 0.6× 319 2.1× 173 1.5k
Jeremiah D. Deng New Zealand 21 460 0.8× 750 1.5× 538 1.3× 285 1.8× 193 1.3× 94 1.9k
Omar Y. Al-Jarrah United Kingdom 12 424 0.7× 520 1.0× 515 1.2× 104 0.6× 351 2.4× 20 1.8k
Liqiang Wang United States 23 780 1.4× 750 1.5× 430 1.0× 410 2.5× 121 0.8× 125 1.9k
Lianglun Cheng China 21 259 0.5× 382 0.8× 410 1.0× 124 0.8× 235 1.6× 215 1.6k

Countries citing papers authored by Tao Ye

Since Specialization
Citations

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

Fields of papers citing papers by Tao Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Ye. A scholar is included among the top collaborators of Tao Ye 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 Ye. Tao Ye 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.
Ye, Tao, Yuliang Li, Xiaosong Li, et al.. (2025). Vision-Based Few-Shot Railway Intrusion Detection via Dual-Detector and Contrastive Learning. IEEE Sensors Journal. 25(17). 32899–32915.
2.
3.
Ye, Tao, et al.. (2025). Parallelization Strategy of Laser Stripe Center Extraction for Structured Light Measurement. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 2 indexed citations
4.
Ye, Tao, et al.. (2024). Multi-scale network with attention mechanism for underwater image enhancement. Neurocomputing. 595. 127926–127926. 6 indexed citations
5.
Liao, Dandan, et al.. (2024). ATBHC-YOLO: aggregate transformer and bidirectional hybrid convolution for small object detection. Complex & Intelligent Systems. 11(1). 5 indexed citations
6.
Zhang, Huiming, et al.. (2024). Fine-scale population mapping on Tibetan Plateau using the ensemble machine learning methods and multisource data. Ecological Indicators. 166. 112307–112307. 3 indexed citations
7.
Ye, Tao, et al.. (2024). Parallelization Strategy of Non-Local Means Filtering Algorithm for Real-Time Denoising of Forward-Looking Multi-Beam Sonar Images. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13226–13243. 6 indexed citations
8.
Ye, Tao, et al.. (2024). Few-Shot Railway Intrusion Detection Without Forgetting via Double RPN and Detector. IEEE Transactions on Intelligent Vehicles. 10(4). 2247–2262. 1 indexed citations
9.
Zhao, Zongyang, et al.. (2024). A real-time and high-accuracy railway obstacle detection method using lightweight CNN and improved transformer. Measurement. 238. 115380–115380. 10 indexed citations
10.
11.
Zhang, Yugang, Lili Li, Tao Ye, et al.. (2023). A Tetravalent Plutonium Organic Framework Containing [Pu2O16] Dimers as Secondary Building Units: Synthesis, Structure, and Radiation Stability. Chinese Journal of Chemistry. 41(13). 1552–1556. 6 indexed citations
12.
Li, Xiaosong, et al.. (2023). Tri-Modal Medical Image Fusion and Denoising Based on BitonicX Filtering. IEEE Transactions on Instrumentation and Measurement. 72. 1–15. 8 indexed citations
13.
Ye, Tao, et al.. (2022). Dense and Small Object Detection in UAV-Vision Based on a Global-Local Feature Enhanced Network. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 52 indexed citations
14.
Ye, Tao, et al.. (2022). An Efficient 3-D Point Cloud Place Recognition Approach Based on Feature Point Extraction and Transformer. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 16 indexed citations
15.
Ye, Tao, et al.. (2022). Foreign Body Detection in Rail Transit Based on a Multi-Mode Feature-Enhanced Convolutional Neural Network. IEEE Transactions on Intelligent Transportation Systems. 23(10). 18051–18063. 24 indexed citations
16.
Li, Yan, et al.. (2020). Triple-Helix Structured Model Based on Problem-Knowledge-Solution Co-evolution for Innovative Product Design Process. Chinese Journal of Mechanical Engineering. 33(1). 10 indexed citations
17.
Ye, Tao, et al.. (2020). Application of Lightweight Railway Transit Object Detector. IEEE Transactions on Industrial Electronics. 68(10). 10269–10280. 25 indexed citations
18.
Ye, Tao, Xi Zhang, Yi Zhang, & Jie Liu. (2020). Railway Traffic Object Detection Using Differential Feature Fusion Convolution Neural Network. IEEE Transactions on Intelligent Transportation Systems. 22(3). 1375–1387. 80 indexed citations
19.
Ye, Tao, et al.. (2020). Autonomous Railway Traffic Object Detection Using Feature-Enhanced Single-Shot Detector. IEEE Access. 8. 145182–145193. 31 indexed citations
20.
Ye, Tao, et al.. (2018). Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode. Sensors. 18(6). 1916–1916. 52 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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