Yingtong Dou

1.8k total citations · 1 hit paper
16 papers, 628 citations indexed

About

Yingtong Dou is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Yingtong Dou has authored 16 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Information Systems and 4 papers in Sociology and Political Science. Recurrent topics in Yingtong Dou's work include Advanced Graph Neural Networks (6 papers), Spam and Phishing Detection (5 papers) and Misinformation and Its Impacts (4 papers). Yingtong Dou is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Spam and Phishing Detection (5 papers) and Misinformation and Its Impacts (4 papers). Yingtong Dou collaborates with scholars based in United States, China and Hong Kong. Yingtong Dou's co-authors include Philip S. Yu, Lichao Sun, Congying Xia, Kai Shu, Hao Peng, Lifang He, Xiaolong Deng, Ruitong Zhang, Renyu Yang and Bo Li and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Computers and Electronics in Agriculture.

In The Last Decade

Yingtong Dou

16 papers receiving 602 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

User Preference-aware Fake News Detection

2021 152 citations Yingtong Dou, Kai Shu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingtong Dou United States	12	418	271	201	101	84	16	628
Guoyong Cai China	10	279 0.7×	165 0.6×	105 0.5×	82 0.8×	89 1.1×	53	494
C. Ravindranath Chowdary India	13	282 0.7×	249 0.9×	60 0.3×	71 0.7×	73 0.9×	40	640
Congying Xia United States	14	661 1.6×	230 0.8×	180 0.9×	82 0.8×	32 0.4×	26	840
Madhu Kumari India	10	240 0.6×	176 0.6×	70 0.3×	52 0.5×	65 0.8×	45	461
Qi Cao China	12	357 0.9×	117 0.4×	33 0.2×	195 1.9×	79 0.9×	46	582
Xiwu Gu China	11	334 0.8×	215 0.8×	53 0.3×	72 0.7×	152 1.8×	51	557
O‐Joun Lee South Korea	13	169 0.4×	65 0.2×	76 0.4×	64 0.6×	50 0.6×	58	421
Georgios Petkos Greece	10	379 0.9×	210 0.8×	68 0.3×	319 3.2×	57 0.7×	18	621
Xiaoyao Zheng China	13	246 0.6×	220 0.8×	108 0.5×	40 0.4×	82 1.0×	54	507
Songlei Jian China	15	367 0.9×	167 0.6×	45 0.2×	28 0.3×	136 1.6×	34	490

Countries citing papers authored by Yingtong Dou

Since Specialization

Citations

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

Fields of papers citing papers by Yingtong Dou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingtong Dou

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

16 of 16 papers shown

1.

Ji, Shujuan, et al.. (2025). Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform. Information Processing & Management. 62(6). 104177–104177. 2 indexed citations

2.

Dou, Yingtong, et al.. (2023). Attacking Fake News Detectors via Manipulating News Social Engagement. 3978–3986. 22 indexed citations

3.

Sun, Lichao, Yingtong Dou, Carl Yang, et al.. (2022). Adversarial Attack and Defense on Graph Data: A Survey. IEEE Transactions on Knowledge and Data Engineering. 1–20. 118 indexed citations

4.

Dou, Yingtong. (2022). Robust Graph Learning for Misbehavior Detection. 1545–1546. 2 indexed citations

5.

Zhang, Ruitong, Hao Peng, Yingtong Dou, et al.. (2022). Automating DBSCAN via Deep Reinforcement Learning. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2620–2630. 19 indexed citations

6.

Peng, Hao, et al.. (2021). Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. ACM Transactions on Information Systems. 40(4). 1–46. 96 indexed citations

7.

Dou, Yingtong, et al.. (2021). Cross-lingual COVID-19 Fake News Detection. 859–862. 30 indexed citations

8.

Dou, Yingtong, Kai Shu, Congying Xia, Philip S. Yu, & Lichao Sun. (2021). User Preference-aware Fake News Detection. 2051–2055. 152 indexed citations breakdown →

9.

Wang, Chen, et al.. (2021). Deep Fraud Detection on Non-attributed Graph. 2021 IEEE International Conference on Big Data (Big Data). 5470–5473. 6 indexed citations

10.

Li, Jianxin, et al.. (2021). Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering. 1–1. 75 indexed citations

11.

Dou, Yingtong, Guixiang Ma, Philip S. Yu, & Sihong Xie. (2020). Robust Spammer Detection by Nash Reinforcement Learning. 924–933. 35 indexed citations

12.

Deng, Xiaolong, Yingtong Dou, & Dawei Hu. (2018). Robust closed-loop control of vegetable production in plant factory. Computers and Electronics in Agriculture. 155. 244–250. 12 indexed citations

13.

Deng, Xiaolong, Yingtong Dou, Tiejun Lv, & Quoc Viet Hung Nguyen. (2017). A Novel Centrality Cascading Based Edge Parameter Evaluation Method for Robust Influence Maximization. IEEE Access. 5. 22119–22131. 16 indexed citations

14.

Dou, Yingtong, Yang Hao, & Xiaolong Deng. (2016). A Survey of Collaborative Filtering Algorithms for Social Recommender Systems. 40–46. 31 indexed citations

15.

Deng, Xiaolong, et al.. (2016). CPS model based online opinion governance modeling and evaluation of emergency accidents. 58. 1–6. 1 indexed citations

16.

Wang, Pengyang, Yingtong Dou, & Xin Yang. (2016). The analysis and design of the job recommendation model based on GBRT and time factors. 29–35. 11 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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