Wei Tong

510 total citations
21 papers, 320 citations indexed

About

Wei Tong is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Science Applications. According to data from OpenAlex, Wei Tong has authored 21 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 4 papers in Computer Science Applications. Recurrent topics in Wei Tong's work include Privacy-Preserving Technologies in Data (11 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Privacy, Security, and Data Protection (3 papers). Wei Tong is often cited by papers focused on Privacy-Preserving Technologies in Data (11 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Privacy, Security, and Data Protection (3 papers). Wei Tong collaborates with scholars based in China and United States. Wei Tong's co-authors include Sheng Zhong, Jingyu Hua, Sheng Zhong, Fengyuan Xu, Yuan Zhang, Qun Li, Kai Gan, Bingbing Jiang, Mingqian Tang and Yu-Feng Li and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Mobile Computing.

In The Last Decade

Wei Tong

19 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Tong China	9	242	66	64	58	55	21	320
Sina Shaham United States	7	285 1.2×	57 0.9×	42 0.7×	84 1.4×	36 0.7×	18	386
Apostolos Pyrgelis Switzerland	10	195 0.8×	73 1.1×	75 1.2×	37 0.6×	23 0.4×	23	315
Stylianos Gisdakis Sweden	8	177 0.7×	50 0.8×	49 0.8×	43 0.7×	145 2.6×	13	252
Lichuan Ma China	7	246 1.0×	122 1.8×	140 2.2×	51 0.9×	82 1.5×	15	407
Huaxin Li China	7	260 1.1×	65 1.0×	119 1.9×	107 1.8×	42 0.8×	14	373
Tejas Kulkarni United States	7	390 1.6×	45 0.7×	54 0.8×	78 1.3×	80 1.5×	18	462
Renwan Bi China	8	190 0.8×	69 1.0×	67 1.0×	31 0.5×	31 0.6×	14	312
Jinwen Xi China	10	87 0.4×	97 1.5×	103 1.6×	25 0.4×	65 1.2×	21	252
Mingyuan Yan United States	11	155 0.6×	83 1.3×	203 3.2×	67 1.2×	142 2.6×	32	488
Yiqun Diao Singapore	2	503 2.1×	53 0.8×	85 1.3×	38 0.7×	69 1.3×	5	566

Countries citing papers authored by Wei Tong

Since Specialization

Citations

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

Fields of papers citing papers by Wei Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Tong

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

Tong, Wei, et al.. (2025). The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations. 1160–1176.

Tong, Wei, et al.. (2025). Differentially Private Triangle Counting Assisted by $k$-Anonymity in Two-Party Models. 3261–3273.

He, Ruijie, et al.. (2024). A parallel neural networks for emotion recognition based on EEG signals. Neurocomputing. 610. 128624–128624. 6 indexed citations

Tong, Wei, et al.. (2024). Secure Two-Party Frequent Itemset Mining With Guaranteeing Differential Privacy. IEEE Transactions on Mobile Computing. 24(1). 276–292. 1 indexed citations

Tong, Wei, et al.. (2023). Location Privacy Protection and Location Verification Mechanism of Vehicle in VANET. 725–731. 1 indexed citations

Tong, Wei, et al.. (2023). Differentially Private Two-Party Top-$k$ Frequent Item Mining. abs 1909 13830. 166–177. 1 indexed citations

Tong, Wei, et al.. (2023). Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels. 3902–3910. 2 indexed citations

Hua, Jingyu, et al.. (2023). SGBA: A stealthy scapegoat backdoor attack against deep neural networks. Computers & Security. 136. 103523–103523. 3 indexed citations

Tong, Wei & Kai Gan. (2023). Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency is All You Need. 3469–3478. 17 indexed citations

10.

Tong, Wei, et al.. (2022). Understanding Location Privacy of the Point-of-Interest Aggregate Data via Practical Attacks and Defenses. IEEE Transactions on Dependable and Secure Computing. 20(3). 2433–2449. 5 indexed citations

11.

Tong, Wei, et al.. (2021). NGC: A Unified Framework for Learning with Open-World Noisy Data. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 62–71. 37 indexed citations

12.

Tong, Wei, et al.. (2021). Practical Location Privacy Attacks and Defense on Point-of-interest Aggregates. 808–818. 6 indexed citations

13.

Hua, Jingyu, et al.. (2020). A Privacy-Preserving Scheme For Convolutional Neural Network-Based Applications In Mobile Cloud. 1–6. 1 indexed citations

14.

Tong, Wei, Bingbing Jiang, Fengyuan Xu, Qun Li, & Sheng Zhong. (2019). Privacy-Preserving Data Integrity Verification in Mobile Edge Computing. 1007–1018. 39 indexed citations

15.

Hua, Jingyu, et al.. (2019). Distributed K-Means clustering guaranteeing local differential privacy. Computers & Security. 90. 101699–101699. 44 indexed citations

16.

Tong, Wei, Jingyu Hua, & Sheng Zhong. (2017). A Jointly Differentially Private Scheduling Protocol for Ridesharing Services. IEEE Transactions on Information Forensics and Security. 12(10). 2444–2456. 30 indexed citations

17.

Hua, Jingyu, Wei Tong, Fengyuan Xu, & Sheng Zhong. (2017). A Geo-Indistinguishable Location Perturbation Mechanism for Location-Based Services Supporting Frequent Queries. IEEE Transactions on Information Forensics and Security. 13(5). 1155–1168. 54 indexed citations

18.

Tong, Wei & Sheng Zhong. (2016). A Unified Resource Allocation Framework for Defending Against Pollution Attacks in Wireless Network Coding Systems. IEEE Transactions on Information Forensics and Security. 11(10). 2255–2267. 9 indexed citations

19.

Zhang, Yuan, Wei Tong, & Sheng Zhong. (2016). On Designing Satisfaction-Ratio-Aware Truthful Incentive Mechanisms for <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math> </inline-formula>-Anonymity Location Privacy. IEEE Transactions on Information Forensics and Security. 11(11). 2528–2541. 49 indexed citations

20.

Tong, Wei & Sheng Zhong. (2015). Resource allocation in pollution attack and defense: A game-theoretic perspective. 74. 3057–3062. 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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