Tingsong Jiang

731 total citations
32 papers, 421 citations indexed

About

Tingsong Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Tingsong Jiang has authored 32 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Tingsong Jiang's work include Adversarial Robustness in Machine Learning (22 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Neural Network Applications (6 papers). Tingsong Jiang is often cited by papers focused on Adversarial Robustness in Machine Learning (22 papers), Anomaly Detection Techniques and Applications (7 papers) and Advanced Neural Network Applications (6 papers). Tingsong Jiang collaborates with scholars based in China and United States. Tingsong Jiang's co-authors include Wen Yao, Zhifang Sui, Baobao Chang, Handing Wang, Donghua Wang, Xiaoqian Chen, Lei Sha, Sujian Li, Tao Ge and Jun Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Tingsong Jiang

27 papers receiving 411 citations

Peers

Tingsong Jiang

CVPR

Yunsheng Bai United States

Cheng Fu United States

Paishun Ting United States

Ziyue Huang China

Jiacheng Zhang China

Warren He United States

Woosuk Kwon South Korea

Xupeng Miao China

Jamie Hayes United Kingdom

Yunsheng Bai United States

Tingsong Jiang

183 ×0.5

130 ×1.2

CVPR

48 ×1.0

33 ×0.7

25 ×0.6

Citations per year, relative to Tingsong Jiang Tingsong Jiang (= 1×) peers Yunsheng Bai

Countries citing papers authored by Tingsong Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Tingsong Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingsong Jiang

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

All Works

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20 of 20 papers shown

Yao, Wen, Tingsong Jiang, Shuai Jia, et al.. (2025). CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors. 1462–1470.

Wang, Donghua, et al.. (2025). Universal Multi-View Black-Box Attack Against Object Detectors via Layout Optimization. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 7129–7142.

Yao, Wen, et al.. (2025). A3: A Platform of Searching for Robust Neural Architectures and Efficient Adversarial Attacks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3975–3991.

Yao, Wen, et al.. (2024). Adversarial patch-based false positive creation attacks against aerial imagery object detectors. Neurocomputing. 579. 127431–127431. 8 indexed citations

Wang, Donghua, Wen Yao, Tingsong Jiang, et al.. (2024). An invisible, robust copyright protection method for DNN-generated content. Neural Networks. 177. 106391–106391.

Yao, Wen, et al.. (2024). Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors. Engineering Applications of Artificial Intelligence. 137. 109141–109141. 2 indexed citations

Yao, Wen, et al.. (2024). Gradient-based sparse voxel attacks on point cloud object detection. Pattern Recognition. 160. 111156–111156. 3 indexed citations

Jiang, Tingsong, et al.. (2024). Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world. Neural Networks. 175. 106310–106310. 8 indexed citations

Yao, Wen, et al.. (2024). Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world. Neural Networks. 178. 106459–106459. 7 indexed citations

10.

Zhang, Jun, et al.. (2023). RBUE: a ReLU-based uncertainty estimation method for convolutional neural networks. Complex & Intelligent Systems. 9(5). 4735–4749. 1 indexed citations

11.

Yao, Wen, et al.. (2023). A multi-objective memetic algorithm for automatic adversarial attack optimization design. Neurocomputing. 547. 126318–126318. 4 indexed citations

12.

Yao, Wen, et al.. (2023). Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget. Applied Soft Computing. 142. 110370–110370. 12 indexed citations

13.

Yao, Wen, et al.. (2023). Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 14 indexed citations

14.

Yao, Wen, et al.. (2023). Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors. Neural Networks. 163. 256–271. 13 indexed citations

15.

Jiang, Tingsong, et al.. (2023). Adversarial patch attacks against aerial imagery object detectors. Neurocomputing. 537. 128–140. 16 indexed citations

16.

Zheng, Xiaohu, Wen Yao, Zhiqiang Gong, et al.. (2022). Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 1 indexed citations

17.

Jiang, Tingsong, Jing Liu, Chin-Yew Lin, & Zhifang Sui. (2018). Revisiting Distant Supervision for Relation Extraction. Language Resources and Evaluation. 4 indexed citations

18.

Jiang, Tingsong, Tianyu Liu, Tao Ge, et al.. (2016). Encoding Temporal Information for Time-Aware Link Prediction. 2350–2354. 65 indexed citations

19.

Jiang, Tingsong, Tianyu Liu, Tao Ge, et al.. (2016). Towards Time-Aware Knowledge Graph Completion. International Conference on Computational Linguistics. 1715–1724. 47 indexed citations

20.

Jiang, Tingsong, et al.. (2015). ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation. 2419–2429. 15 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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