Daizong Ding

522 total citations
19 papers, 335 citations indexed

About

Daizong Ding is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Daizong Ding has authored 19 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Signal Processing. Recurrent topics in Daizong Ding's work include Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Daizong Ding is often cited by papers focused on Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Daizong Ding collaborates with scholars based in China, Singapore and United States. Daizong Ding's co-authors include Mi Zhang, Min Yang, Xudong Pan, Xiangnan He, Xiaohan Zhang, Yukun Zhang, Yinzhi Cao, Yuan Zhang, Mi Zhang and Shao-Yuan Li and has published in prestigious journals such as Nature Medicine, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Daizong Ding

19 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daizong Ding China	8	162	141	111	100	34	19	335
Alina Lazar United States	10	57 0.4×	143 1.0×	93 0.8×	188 1.9×	40 1.2×	40	428
José R. R. Viqueira Spain	8	78 0.5×	59 0.4×	59 0.5×	40 0.4×	13 0.4×	31	184
Marco Balduzzi France	13	197 1.2×	176 1.2×	193 1.7×	304 3.0×	13 0.4×	16	500
John G. Stell United Kingdom	12	262 1.6×	163 1.2×	212 1.9×	33 0.3×	8 0.2×	34	471
Vaishaal Shankar United States	9	54 0.3×	168 1.2×	98 0.9×	84 0.8×	15 0.4×	16	401
Yuan Huang China	14	111 0.7×	154 1.1×	102 0.9×	366 3.7×	124 3.6×	49	571
Jesús M. Almendros-Jiménez Spain	11	93 0.6×	168 1.2×	86 0.8×	105 1.1×	43 1.3×	46	300
Alexandra A. Vagis Ukraine	3	26 0.2×	183 1.3×	46 0.4×	42 0.4×	19 0.6×	11	342
B. B. Meshram India	10	153 0.9×	140 1.0×	165 1.5×	216 2.2×	6 0.2×	72	395
Athena Stassopoulou Cyprus	11	103 0.6×	166 1.2×	104 0.9×	175 1.8×	3 0.1×	17	433

Countries citing papers authored by Daizong Ding

Since Specialization

Citations

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

Fields of papers citing papers by Daizong Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daizong Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Daizong Ding. A scholar is included among the top collaborators of Daizong Ding 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 Daizong Ding. Daizong Ding 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:

19 of 19 papers shown

Rutledge, Jarod, Daniel Western, Kejun Ying, et al.. (2025). Disruption of the cerebrospinal fluid–plasma protein balance in cognitive impairment and aging. Nature Medicine. 31(8). 2578–2589. 3 indexed citations

Wang, Wenjie, et al.. (2024). Uplift Modeling for Target User Attacks on Recommender Systems. arXiv (Cornell University). 3343–3354. 1 indexed citations

Zhang, Mi, et al.. (2024). CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification. 19779–19789. 1 indexed citations

Ding, Daizong, et al.. (2023). Black-Box Adversarial Attack on Time Series Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7358–7368. 5 indexed citations

Ding, Daizong, et al.. (2023). CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. 12260–12270. 1 indexed citations

Ding, Daizong, et al.. (2023). MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. 2000–2010. 5 indexed citations

Ding, Daizong, et al.. (2023). Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. 938–948. 1 indexed citations

Ding, Daizong, et al.. (2022). Towards Backdoor Attack on Deep Learning based Time Series Classification. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 1274–1287. 8 indexed citations

Zhang, Mi, et al.. (2021). Learning to Learn the Future. 2434–2443. 13 indexed citations

10.

Ding, Daizong, Mi Zhang, Hanrui Wang, et al.. (2021). A Deep Learning Framework for Self-evolving Hierarchical Community Detection. 372–381. 5 indexed citations

11.

Zhang, Mi, et al.. (2021). Enhancing Time Series Predictors with Generalized Extreme Value Loss. IEEE Transactions on Knowledge and Data Engineering. 1–1. 17 indexed citations

12.

Pan, Xudong, Mi Zhang, Daizong Ding, & Min Yang. (2020). A Geometrical Perspective on Image Style Transfer with Adversarial Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(1). 1–1. 8 indexed citations

13.

Ding, Daizong, Mi Zhang, Xudong Pan, Min Yang, & Xiangnan He. (2020). Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3791–3800. 2 indexed citations

14.

Ding, Daizong, Mi Zhang, Xudong Pan, Min Yang, & Xiangnan He. (2020). Modeling Personalized Out-of-Town Distances in Location Recommendation. 112–121. 2 indexed citations

15.

Zhang, Xiaohan, Yuan Zhang, Daizong Ding, et al.. (2020). Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware. 757–770. 117 indexed citations

16.

Ding, Daizong, Mi Zhang, Xudong Pan, Min Yang, & Xiangnan He. (2019). Modeling Extreme Events in Time Series Prediction. 1114–1122. 89 indexed citations

17.

Ding, Daizong, et al.. (2018). Geographical Feature Extraction for Entities in Location-based Social Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 833–842. 14 indexed citations

18.

Ding, Daizong, et al.. (2017). BayDNN. 1479–1488. 38 indexed citations

19.

Ding, Daizong, et al.. (2017). A user intention modeling algorithm for friend recommendation. 5. 789–795. 5 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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