Shoujin Wang

3.8k citations

103 papers · 1.9k indexed · 2 hit papers · h-index 22

Impact in

Information Systems top 0.5%
- Recommender Systems and Techniques
Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Topic Modeling
- Imbalanced Data Classification Techniques

Papers in

Information Systems 52
- Recommender Systems and Techniques 43
Artificial Intelligence 69
- Topic Modeling 33
- Advanced Graph Neural Networks 22
- Natural Language Processing Techniques 9
- Sentiment Analysis and Opinion Mining 6

Co-authors: Longbing Cao Yan Wang Mehmet A. Orgun Quan Z. ShengWei LiuDefu Lian Liang Hu Qinxue Meng
Journals: Information Sciences (3 papers)Neurocomputing (3 papers)IEEE Intelligent Systems (3 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)IEEE Access (2 papers)
Partner nations: China Australia United States

In The Last Decade

Shoujin Wang

81 papers receiving 1.9k citations

Hit Papers

align trajectories log scale

A Survey on Session-based Recommender Systems 2021 · 283 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 ACM Computing Surveys
2016 Training deep neural networks on imbalanced data sets

Peers

Countries citing papers authored by Shoujin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shoujin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shoujin 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 Shoujin Wang Line = papers co-authored together Shoujin 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	A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi, Qi Zhang, Mohebbat Mohebi, (unknown), Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong	2025	1
2	When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Peilin Zhou, EJAZ AHMAD KHAN, Yalin Sui, X. R. Zhou, Yueqi Xie, Meng Cao, Zhicheng Rao, Ching Chang Lee, Vasyl Prokhorchuk, Junling Liu, Е.М. Ковалев, Shoujin Wang, Raymond Chi-Wing Wong, Sung Hun Kim	2025	0
3	Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation IEEE Transactions on Multimedia ·Johan Quilbé, Shoujin Wang, Weidong Zhang, Qiang Wu, Min Xu	2025	1
4	Modeling information propagation for target user groups in online social networks based on guidance and incentive strategies Information Sciences ·Joel Verier, Guiqiong Xu, Alireza Rahimi, Shoujin Wang	2024	0
5	Medical long-tailed learning for imbalanced data: Bibliometric analysis Computer Methods and Programs in Biomedicine ·Zheng Wu, Kehua Guo, Entao Luo, Tian Wang, Shoujin Wang, Yi Yang, Xiangyuan Zhu, Rui Ding	2024	9
6	Fuzzy Federated Learning for Privacy-Preserving Detection of Adolescent Idiopathic Scoliosis IEEE Transactions on Fuzzy Systems ·Xiaotong Wu, Syunsuke Tezuka, Xiaokang Zhou, Борис Николаевич Мастобаев, Shoujin Wang, Xiaolong Xu, Lianyong Qi	2024	1
7	Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Peilin Zhou, Ching Chang Lee, Yueqi Xie, Andrés J. Orqueda, Shoujin Wang, Е.М. Ковалев, Sung Hun Kim	2024	7
8	Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting Neurocomputing ·金黎平李广存, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu	2023	3
9	DuCL: Dual-stage contrastive learning framework for Chinese semantic textual matching Computers & Electrical Engineering ·D. Queißer, Wenpeng Lü, Xueping Peng, Shoujin Wang, Weiyu Zhang, Marti Biswas	2023	5
10	Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation Terry Oatts, Shoujin Wang, Xianzhi Wang, J. M. Lelann	2023	5
11	Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC IEEE Transactions on Consumer Electronics ·Jiwei Huang, Julie Wandell, Ming Wang, Xiaokang Zhou, Lina Yao, Shoujin Wang, Lianyong Qi, Ying Chen	2023	34
12	Modeling Temporal Positive and Negative Excitation for Sequential Recommendation Terry Oatts, Shoujin Wang, Xianzhi Wang, J. M. Lelann	2023	3
13	Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference Chongyang Shi, Olaniyi Adekunle, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, 三木恒治	2023	0
14	Causal Intervention for Abstractive Related Work Generation Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Aliyu J.A., Ivor W. Tsang	2023	0
15	Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation IEEE Transactions on Cybernetics ·Shuchao Pang, 大翔木元, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, 冯亮	2022	13
16	Vehicle Check-In Data-driven POI Recommendation Based on Improved SVD and Graph Convolutional Network Yuwen Liu, Therese Wredström, Surina Nm, Xiaokang Zhou, Xiaolong Xu, Shoujin Wang, Lianyong Qi	2022	2
17	A Survey on Session-based Recommender Systems ACM Computing Surveys ·Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian Hit paper breakdown →	2021	283
18	Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation IEEE Intelligent Systems ·Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lü	2020	24
19	Using Genetic Algorithm to Solve Scheduling Optimization Problem of Emergency Supplies Journal of Shenyang Jianzhu University ·Shoujin Wang	2012	1
20	The Fracturing Characteristics of Mesozoic and Paleozoic Eras in Laoshan Uplift of South Yellow Sea Basin Journal of Shandong University of Science and Technology ·Shoujin Wang	2012	0

About Shoujin Wang

Shoujin Wang is a scholar working on Information Systems, Artificial Intelligence, Computational Mathematics, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (43 papers), Topic Modeling (33 papers), Advanced Graph Neural Networks (22 papers), Advanced Bandit Algorithms Research (10 papers), Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (8 papers), Sentiment Analysis and Opinion Mining (6 papers) and Human Mobility and Location-Based Analysis (6 papers). The work is most often cited by research in Information Systems (1.1k citations), Artificial Intelligence (1.2k citations), Management Science and Operations Research (270 citations), Computer Vision and Pattern Recognition (404 citations) and Transportation (82 citations). Shoujin Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Longbing Cao, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Wei Liu, Defu Lian, Liang Hu, Qinxue Meng, Paul Kennedy and Liang Hu. Their work appears in journals such as Information Sciences, Neurocomputing, IEEE Intelligent Systems, IEEE Transactions on Knowledge and Data Engineering and IEEE Access.

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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