Dingfan Chen

669 total citations
9 papers, 311 citations indexed

About

Dingfan Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Dingfan Chen has authored 9 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Dingfan Chen's work include Privacy-Preserving Technologies in Data (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Ethics in Clinical Research (1 paper). Dingfan Chen is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Ethics in Clinical Research (1 paper). Dingfan Chen collaborates with scholars based in Germany, United States and China. Dingfan Chen's co-authors include Mario Fritz, Ning Yu, Yang Zhang, Tribhuvanesh Orekondy, Michael Backes, Yang Zhang, Ahmed Salem, Zhonghai Wu, Shiqing Ma and Qingni Shen and has published in prestigious journals such as Figshare, arXiv (Cornell University) and PubMed.

In The Last Decade

Dingfan Chen

7 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dingfan Chen Germany	5	271	73	40	33	26	9	311
Ali Shahin Shamsabadi United Kingdom	9	347 1.3×	82 1.1×	35 0.9×	42 1.3×	31 1.2×	17	401
Ahoud Alhazmi Australia	4	248 0.9×	42 0.6×	68 1.7×	48 1.5×	45 1.7×	8	293
Samuel Yeom United States	4	424 1.6×	54 0.7×	21 0.5×	31 0.9×	27 1.0×	6	495
Mohammad Al-Rubaie United States	4	226 0.8×	46 0.6×	35 0.9×	51 1.5×	42 1.6×	5	307
Shizhe Diao Hong Kong	9	208 0.8×	75 1.0×	21 0.5×	25 0.8×	7 0.3×	23	280
Qingxiu Dong China	7	199 0.7×	50 0.7×	10 0.3×	39 1.2×	18 0.7×	11	297
Wangchunshu Zhou China	14	382 1.4×	174 2.4×	16 0.4×	29 0.9×	11 0.4×	37	476
Zaid Alyafeai Saudi Arabia	7	374 1.4×	65 0.9×	26 0.7×	25 0.8×	33 1.3×	13	445
Ori Ram Israel	6	235 0.9×	73 1.0×	9 0.2×	31 0.9×	11 0.4×	7	319

Countries citing papers authored by Dingfan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Dingfan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingfan Chen

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

All Works

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9 of 9 papers shown

1.

Chen, Dingfan, et al.. (2024). PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 4737–4751. 1 indexed citations

2.

Wang, Hui‐Po, et al.. (2024). FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations. Proceedings on Privacy Enhancing Technologies. 2024(3). 372–390. 2 indexed citations

3.

Chen, Dingfan, et al.. (2024). PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques. 9668–9689.

4.

Chen, Dingfan, et al.. (2024). Towards Biologically Plausible and Private Gene Expression Data Generation. Proceedings on Privacy Enhancing Technologies. 2024(2). 531–554.

5.

Salem, Ahmed, Dingfan Chen, Michael Backes, et al.. (2021). BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements. Annual Computer Security Applications Conference. 554–569. 81 indexed citations

6.

Oestreich, Marie, Dingfan Chen, Joachim L. Schultze, Mario Fritz, & Matthias Becker. (2021). Privacy considerations for sharing genomics data. PubMed. 20. 1243–1260. 15 indexed citations

7.

Chen, Dingfan, Tribhuvanesh Orekondy, & Mario Fritz. (2020). GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. Figshare. 33. 12673–12684. 44 indexed citations

8.

Chen, Dingfan, Ning Yu, Yang Zhang, & Mario Fritz. (2020). GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. arXiv (Cornell University). 343–362. 154 indexed citations

9.

Chen, Dingfan, et al.. (2019). GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. arXiv (Cornell University). 14 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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