Jindong Gu

990 total citations
32 papers, 217 citations indexed

About

Jindong Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jindong Gu has authored 32 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Jindong Gu's work include Adversarial Robustness in Machine Learning (9 papers), Advanced Neural Network Applications (8 papers) and Multimodal Machine Learning Applications (7 papers). Jindong Gu is often cited by papers focused on Adversarial Robustness in Machine Learning (9 papers), Advanced Neural Network Applications (8 papers) and Multimodal Machine Learning Applications (7 papers). Jindong Gu collaborates with scholars based in United Kingdom, Germany and China. Jindong Gu's co-authors include Volker Tresp, Denis Krompaß, Han Hu, Yao Zhang, Yang Bai, Shu‐Tao Xia, Ahmed Frikha, Xiaochun Cao, Xiaojun Jia and S. Zenz and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Information Forensics and Security and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Jindong Gu

25 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jindong Gu United Kingdom	7	149	78	20	14	13	32	217
Sheng Zha United States	5	167 1.1×	91 1.2×	11 0.6×	4 0.3×	10 0.8×	9	251
Jiayan Qiu Australia	5	135 0.9×	147 1.9×	10 0.5×	9 0.6×	9 0.7×	11	216
Gurram Sunitha India	6	56 0.4×	74 0.9×	12 0.6×	13 0.9×	21 1.6×	26	196
Qidong Huang China	7	141 0.9×	171 2.2×	36 1.8×	6 0.4×	7 0.5×	16	294
Jinmian Ye China	6	91 0.6×	79 1.0×	13 0.7×	7 0.5×	12 0.9×	7	160
Chuanjian Liu China	7	211 1.4×	199 2.6×	11 0.6×	9 0.6×	19 1.5×	15	308
Huangjie Zheng China	7	90 0.6×	78 1.0×	10 0.5×	6 0.4×	13 1.0×	11	177
Lei Cui China	7	74 0.5×	66 0.8×	15 0.8×	14 1.0×	25 1.9×	25	165
Jiefeng Peng China	5	119 0.8×	150 1.9×	10 0.5×	6 0.4×	10 0.8×	7	202
Mary Phuong Austria	4	113 0.8×	78 1.0×	9 0.5×	6 0.4×	16 1.2×	6	159

Countries citing papers authored by Jindong Gu

Since Specialization

Citations

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

Fields of papers citing papers by Jindong Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jindong Gu

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

Torr, Philip, et al.. (2025). Text-guided camouflaged object detection. Pattern Recognition. 170. 112058–112058.

Zhang, Yao, Jing Bi, S. Zenz, et al.. (2025). FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. 30440–30450. 1 indexed citations

Islam, Md. Mohaiminul, et al.. (2025). ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos. 19012–19022. 1 indexed citations

Zhang, Qiang, et al.. (2025). Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2997–3007. 1 indexed citations

Xia, Yifan, et al.. (2025). Reimagining Safety Alignment with An Image. 9600–9614.

Parmar, Mihir, Xin Liu, Palash Goyal, et al.. (2025). PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. 20651–20677.

Yu, Wenqian, Jindong Gu, Zhijiang Li, & Philip H. S. Torr. (2025). Reliable Evaluation of Adversarial Transferability. 797–810. 1 indexed citations

Zhang, Haowei, Jianzhe Liu, Zhen Han, et al.. (2024). Visual Question Decomposition on Multimodal Large Language Models. 1926–1949.

Franchi, Gianni, et al.. (2024). Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6835–6843. 2 indexed citations

10.

Jia, Xiaojun, Xiaofeng Mao, Ranjie Duan, et al.. (2024). Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. IEEE Transactions on Information Forensics and Security. 19. 8125–8139. 6 indexed citations

11.

Jia, Xiaojun, et al.. (2024). Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks. IEEE Transactions on Information Forensics and Security. 19. 4560–4571. 2 indexed citations

12.

Jia, Xiaojun, et al.. (2024). Fast Propagation Is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks. IEEE Transactions on Information Forensics and Security. 19. 4547–4559. 6 indexed citations

13.

Zhang, Yao, et al.. (2024). FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11285–11293. 30 indexed citations

14.

Liu, Xinwei, Xiaojun Jia, Jindong Gu, et al.. (2024). Does Few-Shot Learning Suffer from Backdoor Attacks?. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 19893–19901. 1 indexed citations

15.

Jia, Xiaojun, et al.. (2024). Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds. 24326–24335. 5 indexed citations

16.

Gu, Jindong, et al.. (2024). Initialization Matters for Adversarial Transfer Learning. 24831–24840. 3 indexed citations

17.

Li, Hang, et al.. (2024). Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. 12006–12016. 4 indexed citations

18.

Gu, Jindong, et al.. (2023). Do DALL-E and Flamingo Understand Each Other?. 1999–2010. 5 indexed citations

19.

Bai, Yang, et al.. (2023). Backdoor Defense via Adaptively Splitting Poisoned Dataset. 4005–4014. 27 indexed citations

20.

Gu, Jindong, Matthias Schubert, & Volker Tresp. (2018). Semi-Supervised Outlier Detection Using A Generative And Adversary Framework. Zenodo (CERN European Organization for Nuclear Research). 2 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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