Wenjie Wang

3.1k citations

93 papers · 1.5k indexed · 4 hit papers · h-index 18

Artificial Intelligence top 1%
- Topic Modeling 34
- Advanced Graph Neural Networks 14
- Natural Language Processing Techniques 9
- Machine Learning in Healthcare 6
Information Systems top 1%
- Recommender Systems and Techniques 43
Computer Vision and Pattern Recognition top 2%
- Image Retrieval and Classification Techniques 8
- Multimodal Machine Learning Applications 7
Management Science and Operations Research top 5%
- Advanced Bandit Algorithms Research 10
Health Informatics top 10%

Co-authors: Fuli Feng Xiangnan He Liqiang Nie Tat‐Seng Chua Jizhi ZhangYang ZhangXinyu Lin Keqin Bao
Cited by: Artificial Intelligence Information Systems Computer Vision and Pattern Recognition
Partner nations: China Singapore United States

In The Last Decade

Wenjie Wang

69 papers receiving 1.5k citations

Hit Papers

align trajectories log scale

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.

2024 Data-efficient Fine-tuning for LLM-based Recommendation
2023 TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
2023 Diffusion Recommender Model
2021 A review of statistical methods for dietary pattern analysis

Peers

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

The 25 scholars most cited alongside Wenjie Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wenjie Wang Line = papers co-authored together Wenjie Wang links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning Xiaoyuan Li,Moxin Li,Rui Men,Yichang Zhang,Keqin Bao,Wenjie Wang,Fuli Feng,Dayiheng Liu,Junyang Lin	2025	0
2	Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization Yu Qiu,Xiaoyan Zhao,Yang Zhang,Yimeng Bai,Wenjie Wang,Hong Cheng,Fuli Feng,Tat-Seng Chua	2025	1
3	International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025) Yi Bin,Haoxuan Li,Haokai Ma,Yang Zhang,Wenjie Wang,Yunshan Ma,Yang Yang,Tat‐Seng Chua	2025	0
4	Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data Hang Pan,Chunyuan Zheng,Wenjie Wang,J. Jiang,Xueying Li,Haoxuan Li,Fuli Feng	2025	0
5	EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens Chaoqun Yang,Xinyu Lin,Wenjie Wang,Yongqi Li,Teng Sun,Xianjing Han,Tat‐Seng Chua	2025	0
6	Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance Fengbin Zhu,J.-Y. Li,Liangming Pan,Wenjie Wang,Fuli Feng,Chao Wang,Huanbo Luan,Tat‐Seng Chua	2025	0
7	Treatment Effect Estimation for User Interest Exploration on Recommender Systems Jiaju Chen,Wenjie Wang,Chongming Gao,Peng Wu,Jianxiong Wei,Qingsong Hua	2024	1
8	Data-efficient Fine-tuning for LLM-based Recommendationbreakdown → Xinyu Lin,Wenjie Wang,Yongqi Li,Shuo Yang,Fuli Feng,Yinwei Wei,Tat‐Seng Chua	2024	46
9	Learnable Item Tokenization for Generative Recommendation Wenjie Wang,Honghui Bao,Xinyu Lin,Jizhi Zhang,Yongqi Li,Fuli Feng,See-Kiong Ng,Tat‐Seng Chua	2024	16
10	Denoising Diffusion Recommender Model Jujia Zhao,Wenjie Wang,Yiyan Xu,Teng Sun,Fuli Feng,Tat‐Seng Chua	2024	26
11	Debiased Recommendation with Noisy Feedback Haoxuan Li,Chunyuan Zheng,Wenjie Wang,Hao Wang,Fuli Feng,Xiao‐Hua Zhou	2024	8
12	Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation Wentao Shi,Chenxu Wang,Fuli Feng,Yang Zhang,Wenjie Wang,Junkang Wu,Xiangnan He	2024	1
13	A Taxation Perspective for Fair Re-ranking Xu Chen,Xiaopeng Ye,Wenjie Wang,Liang Pang,Jun Xu,Tat‐Seng Chua	2024	4
14	Large Language Models for Recommendation: Progresses and Future Directions Jizhi Zhang,Keqin Bao,Yang Zhang,Wenjie Wang,Fuli Feng,Xiangnan He	2024	6
15	Large Language Models for Recommendation: Past, Present, and Future Keqin Bao,Jizhi Zhang,Xinyu Lin,Yang Zhang,Wenjie Wang,Fuli Feng	2024	4
16	Robust Prompt Optimization for Large Language Models Against Distribution Shifts Moxin Li,Wenjie Wang,Fuli Feng,Yixin Cao,Jizhi Zhang,Tat‐Seng Chua	2023	2
17	Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation Jizhi Zhang,Keqin Bao,Yang Zhang,Wenjie Wang,Fuli Feng,Xiangnan He	2023	70
18	TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendationbreakdown → Keqin Bao,Jizhi Zhang,Yang Zhang,Wenjie Wang,Fuli Feng,Xiangnan He	2023	155
19	Popularity-aware Distributionally Robust Optimization for Recommendation System Jujia Zhao,Wenjie Wang,Xinyu Lin,Leigang Qu,Jizhi Zhang,Tat‐Seng Chua	2023	8
20	Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries Wenjie Wang,Youngja Park,Taesung Lee,Ian Molloy,Pengfei Tang,Li Xiong	2020	4

About Wenjie Wang

Wenjie Wang is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (43 papers), Topic Modeling (34 papers), Advanced Graph Neural Networks (14 papers), Advanced Bandit Algorithms Research (10 papers), Natural Language Processing Techniques (9 papers), Image Retrieval and Classification Techniques (8 papers), Multimodal Machine Learning Applications (7 papers) and Machine Learning in Healthcare (6 papers). The work is most often cited by research in Artificial Intelligence (884 citations), Information Systems (608 citations) and Computer Vision and Pattern Recognition (413 citations). Wenjie Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Fuli Feng, Xiangnan He, Liqiang Nie, Tat‐Seng Chua, Jizhi Zhang, Yang Zhang, Xinyu Lin, Keqin Bao, Tong Wang and Lun Huang.

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.

Explore authors with similar magnitude of impact