Wenjie Wang

3.1k total citations · 4 hit papers
93 papers, 1.5k citations indexed

About

Wenjie Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wenjie Wang has authored 93 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 49 papers in Information Systems and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wenjie Wang's work include Recommender Systems and Techniques (43 papers), Topic Modeling (34 papers) and Advanced Graph Neural Networks (14 papers). Wenjie Wang is often cited by papers focused on Recommender Systems and Techniques (43 papers), Topic Modeling (34 papers) and Advanced Graph Neural Networks (14 papers). Wenjie Wang collaborates with scholars based in China, Singapore and United States. Wenjie Wang's co-authors include Fuli Feng, Xiangnan He, Liqiang Nie, Tat‐Seng Chua, Jizhi Zhang, Yang Zhang, Keqin Bao, Xinyu Lin, Lun Huang and Junkang Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Transactions on Image Processing.

In The Last Decade

Wenjie Wang

69 papers receiving 1.5k citations

Hit Papers

A review of statistical methods for dietary pattern analysis 2021 2026 2022 2024 2021 2023 2023 2024 50 100 150
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.

  1. A review of statistical methods for dietary pattern analysis
    2021 193 citations Wenjie Wang et al. profile →
  2. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
    2023 155 citations Keqin Bao, Jizhi Zhang et al. profile →
  3. Diffusion Recommender Model
    2023 97 citations Wenjie Wang, Fuli Feng et al. profile →
  4. Data-efficient Fine-tuning for LLM-based Recommendation
    2024 46 citations Xinyu Lin, Wenjie Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenjie Wang China 18 884 608 413 164 111 93 1.5k
Mehrdad Rostami Finland 20 757 0.9× 262 0.4× 356 0.9× 97 0.6× 55 0.5× 44 1.6k
Wenpeng Yin United States 23 1.8k 2.0× 311 0.5× 361 0.9× 8 0.0× 69 0.6× 66 2.3k
Abdullah Alsaeedi Saudi Arabia 17 409 0.5× 301 0.5× 150 0.4× 25 0.2× 15 0.1× 55 1.2k
Milan Petković Netherlands 20 466 0.5× 344 0.6× 295 0.7× 19 0.1× 46 0.4× 86 1.2k
Mehmet Kaya Türkiye 21 820 0.9× 492 0.8× 80 0.2× 11 0.1× 50 0.5× 121 1.5k
Alberto Lavelli Italy 19 1.3k 1.4× 212 0.3× 96 0.2× 32 0.2× 55 0.5× 86 1.8k
Cheng–Te Li Taiwan 22 678 0.8× 457 0.8× 192 0.5× 18 0.1× 113 1.0× 132 1.4k
Junhui Wang United States 18 653 0.7× 421 0.7× 167 0.4× 13 0.1× 36 0.3× 54 1.2k
Aris Gkoulalas-Divanis Greece 22 1.2k 1.3× 321 0.5× 106 0.3× 89 0.5× 223 2.0× 78 1.7k
Weiwei Yuan China 17 456 0.5× 232 0.4× 218 0.5× 9 0.1× 22 0.2× 75 966

Countries citing papers authored by Wenjie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenjie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjie Wang

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

All Works

20 of 20 papers shown
1.
Bin, Yi, Yang Zhang, Wenjie Wang, et al.. (2025). International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025). 6890–6893.
2.
Wang, Wenjie, Zheng Liu, Fuli Feng, et al.. (2025). Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 1. ACM Transactions on Information Systems. 43(2). 1–6.
3.
Zheng, Chunyuan, et al.. (2025). Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data. ACM Transactions on Information Systems. 44(3). 1–29.
4.
Zhu, Fengbin, Liangming Pan, Wenjie Wang, et al.. (2025). Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance. 6289–6297.
5.
Bao, Keqin, Jizhi Zhang, Wenjie Wang, et al.. (2025). A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. 3(4). 1–27. 7 indexed citations
6.
Lin, Xinyu, Wenjie Wang, Yongqi Li, et al.. (2024). Data-efficient Fine-tuning for LLM-based Recommendation. 365–374. 46 indexed citations breakdown →
7.
Wang, Wenjie, et al.. (2024). Denoising Diffusion Recommender Model. 1370–1379. 26 indexed citations
8.
Wang, Wenjie, et al.. (2024). Uplift Modeling for Target User Attacks on Recommender Systems. arXiv (Cornell University). 3343–3354. 1 indexed citations
9.
Bao, Keqin, et al.. (2024). Item-side Fairness of Large Language Model-based Recommendation System. 4717–4726. 14 indexed citations
10.
Chen, Yi, et al.. (2024). MRI radiomics combined with machine learning for diagnosing mild cognitive impairment: a focus on the cerebellar gray and white matter. Frontiers in Aging Neuroscience. 16. 1460293–1460293. 4 indexed citations
11.
Zhang, Jizhi, Keqin Bao, Yang Zhang, et al.. (2024). Large Language Models for Recommendation: Progresses and Future Directions. 1268–1271. 6 indexed citations
12.
Wang, Wenjie, Xinyu Lin, Jizhi Zhang, et al.. (2024). Learnable Item Tokenization for Generative Recommendation. 2400–2409. 16 indexed citations
13.
Bao, Keqin, Jizhi Zhang, Xinyu Lin, et al.. (2024). Large Language Models for Recommendation: Past, Present, and Future. 2993–2996. 4 indexed citations
14.
Chen, Xu, et al.. (2024). A Taxation Perspective for Fair Re-ranking. 1494–1503. 4 indexed citations
15.
Li, Moxin, Wenjie Wang, Fuli Feng, et al.. (2023). Robust Prompt Optimization for Large Language Models Against Distribution Shifts. 1539–1554. 2 indexed citations
16.
Bao, Keqin, Jizhi Zhang, Yang Zhang, et al.. (2023). TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. 1007–1014. 155 indexed citations breakdown →
17.
Zhang, Jizhi, Keqin Bao, Yang Zhang, et al.. (2023). Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. 993–999. 70 indexed citations
18.
Wang, Wenjie, et al.. (2023). Popularity-aware Distributionally Robust Optimization for Recommendation System. 4967–4973. 8 indexed citations
19.
Wang, Wenjie, et al.. (2023). RecAD: Towards A Unified Library for Recommender Attack and Defense. 234–244. 2 indexed citations
20.
Sun, Hanxiao, Wenjie Wang, & Zhongzhi Shi. (2014). Parallel Factorization Machine Recommended Algorithm Based on MapReduce. 120–123.

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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