Run Wang

1.5k total citations
50 papers, 639 citations indexed

About

Run Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Run Wang has authored 50 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 12 papers in Signal Processing. Recurrent topics in Run Wang's work include Adversarial Robustness in Machine Learning (20 papers), Digital Media Forensic Detection (13 papers) and Generative Adversarial Networks and Image Synthesis (12 papers). Run Wang is often cited by papers focused on Adversarial Robustness in Machine Learning (20 papers), Digital Media Forensic Detection (13 papers) and Generative Adversarial Networks and Image Synthesis (12 papers). Run Wang collaborates with scholars based in China, Singapore and United States. Run Wang's co-authors include Felix Juefei-Xu, Yang Liu, Yihao Huang, Qing Guo, Lei Ma, Lina Wang, Xiaofei Xie, Wenqi Wang, Lina Wang and Zhibo Wang and has published in prestigious journals such as Nature Communications, Radiology and Expert Systems with Applications.

In The Last Decade

Run Wang

45 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Run Wang China	13	285	272	124	57	50	50	639
Flavio Bertini Italy	10	127 0.4×	93 0.3×	33 0.3×	79 1.4×	24 0.5×	38	407
Abish Malik United States	12	256 0.9×	103 0.4×	77 0.6×	26 0.5×	95 1.9×	30	430
Ghazanfar Farooq Siddiqui Pakistan	11	104 0.4×	143 0.5×	52 0.4×	45 0.8×	5 0.1×	23	384
Xueying Zhang China	12	71 0.2×	181 0.7×	67 0.5×	36 0.6×	13 0.3×	31	468
Yeuan-Kuen Lee Taiwan	10	262 0.9×	71 0.3×	84 0.7×	22 0.4×	14 0.3×	16	528
Zhongliang Wei China	9	273 1.0×	249 0.9×	12 0.1×	23 0.4×	56 1.1×	20	608
Virgil Pavlu United States	13	82 0.3×	354 1.3×	54 0.4×	20 0.4×	15 0.3×	31	665
Frank Hardisty United States	12	175 0.6×	83 0.3×	93 0.8×	58 1.0×	58 1.2×	20	483
Junjun Yin United States	12	38 0.1×	55 0.2×	53 0.4×	166 2.9×	87 1.7×	34	765

Countries citing papers authored by Run Wang

Since Specialization

Citations

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

Fields of papers citing papers by Run Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Run Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Run Wang. A scholar is included among the top collaborators of Run Wang 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 Run Wang. Run Wang 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, Jiaxi, Qi Bai, Yuan Huang, et al.. (2025). Artificial intelligence links CT images to pathologic features and survival outcomes of renal masses. Nature Communications. 16(1). 1425–1425. 5 indexed citations

Wang, Lina, et al.. (2025). FMG-locator: Fusion SegFormer with facial mask guidance for multi-person forgery localization. Expert Systems with Applications. 293. 128687–128687.

Wang, Run, et al.. (2025). Balancing Safety and Growth: An Ecological Resilience Framework for Great Wall Tourism Towns. Sustainability. 17(16). 7243–7243.

Li, Boheng, Yanhao Wei, Yiming Li, et al.. (2025). Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models. 2564–2582.

Xu, Guowen, Han Qiu, Shangwei Guo, et al.. (2024). Fingerprinting Image-to-Image Generative Adversarial Networks. 41–61.

Yao, Jiaxi, Run Wang, Zhang Shi, et al.. (2024). Deep Learning Assessment of Small Renal Masses at Contrast-enhanced Multiphase CT. Radiology. 311(2). e232178–e232178. 12 indexed citations

Wang, Run, et al.. (2024). TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 19965–19973. 3 indexed citations

Lin, Chenhao, Xiang Ji, Zhengyu Zhao, et al.. (2024). Hard Adversarial Example Mining for Improving Robust Fairness. IEEE Transactions on Information Forensics and Security. 20. 350–363. 2 indexed citations

Yao, Jin, et al.. (2024). Factors influencing proactive health behaviors in pre-frailty older adults: A qualitative study based on theory of planned behavior. Geriatric Nursing. 60. 671–676. 1 indexed citations

10.

Wang, Run, et al.. (2023). Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks. 8463–8474. 9 indexed citations

11.

Juefei-Xu, Felix, Run Wang, Yihao Huang, et al.. (2022). Countering Malicious DeepFakes: Survey, Battleground, and Horizon. International Journal of Computer Vision. 130(7). 1678–1734. 105 indexed citations

12.

Wang, Run, et al.. (2022). Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 761–767. 26 indexed citations

13.

Wang, Wenqi, et al.. (2021). Towards a Robust Deep Neural Network against Adversarial Texts: A Survey. IEEE Transactions on Knowledge and Data Engineering. 1–1. 39 indexed citations

14.

Wang, Run, et al.. (2019). SmartPI: Understanding Permission Implications of Android Apps from User Reviews. IEEE Transactions on Mobile Computing. 19(12). 2933–2945. 15 indexed citations

15.

Wang, Wenqi, et al.. (2019). A Survey: Towards a Robust Deep Neural Network in Text Domain. arXiv (Cornell University). 2 indexed citations

16.

Wang, Wenqi, et al.. (2019). Towards a Robust Deep Neural Network in Text Domain A Survey. arXiv (Cornell University). 2 indexed citations

17.

Wang, Wenqi, et al.. (2019). A survey on Adversarial Attacks and Defenses in Text.. arXiv (Cornell University). 16 indexed citations

18.

Wang, Zhibo, et al.. (2018). Niffler: A Context‐Aware and User‐Independent Side‐Channel Attack System for Password Inference. Wireless Communications and Mobile Computing. 2018(1). 4 indexed citations

19.

Jiang, Tong, Jing Zhao, Jing Cheng, et al.. (2017). National and Provincial Population Projected to 2100 Under the Shared Socioeconomic Pathways in China. Advances in Climate Change Research. 13(2). 128. 86 indexed citations

20.

Wang, Run. (2008). Discuss the Humanistic Soul of the Traditional Culture in China from the "Middle of the Road". Journal of North China Electric Power University.

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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