Shijie Wang

500 total citations · 1 hit paper
8 papers, 159 citations indexed

About

Shijie Wang is a scholar working on Artificial Intelligence, Information Systems and Social Psychology. According to data from OpenAlex, Shijie Wang has authored 8 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Social Psychology. Recurrent topics in Shijie Wang's work include Topic Modeling (4 papers), Semantic Web and Ontologies (2 papers) and Recommender Systems and Techniques (2 papers). Shijie Wang is often cited by papers focused on Topic Modeling (4 papers), Semantic Web and Ontologies (2 papers) and Recommender Systems and Techniques (2 papers). Shijie Wang collaborates with scholars based in China, Hong Kong and United States. Shijie Wang's co-authors include Qing Li, Wenqi Fan, Dawei Yin, Liangbo Ning, Yujuan Ding, Hengyun Li, Tat‐Seng Chua, Wenqi Fan, Hui Liu and Xiaorui Liu and has published in prestigious journals such as ACM Transactions on Information Systems, Geocarto International and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Shijie Wang

6 papers receiving 149 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.

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

2024 137 citations Wenqi Fan, Yujuan Ding et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shijie Wang China	4	92	45	19	16	8	8	159
Samuel Weinbach United States	2	176 1.9×	42 0.9×	14 0.7×	31 1.9×	15 1.9×	2	236
Nils Blach Switzerland	3	106 1.2×	22 0.5×	15 0.8×	32 2.0×	10 1.3×	4	173
Theodore Patkos Greece	6	98 1.1×	18 0.4×	13 0.7×	17 1.1×	13 1.6×	23	135
Zelong Li China	7	81 0.9×	63 1.4×	10 0.5×	13 0.8×	5 0.6×	32	138
Ales Kubicek Switzerland	1	102 1.1×	19 0.4×	12 0.6×	25 1.6×	10 1.3×	2	161
Piotr Nyczyk Switzerland	1	102 1.1×	19 0.4×	12 0.6×	25 1.6×	10 1.3×	2	161
Radwa El Shawi Estonia	6	55 0.6×	26 0.6×	29 1.5×	42 2.6×	3 0.4×	20	130
Yeganeh Kordi United States	1	191 2.1×	39 0.9×	13 0.7×	43 2.7×	17 2.1×	2	269
Hans Friedrich Witschel Switzerland	6	45 0.5×	48 1.1×	36 1.9×	16 1.0×	2 0.3×	34	152
Amit Pimpalkar India	7	110 1.2×	34 0.8×	9 0.5×	44 2.8×	3 0.4×	32	214

Countries citing papers authored by Shijie Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shijie Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijie Wang

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

8 of 8 papers shown

1.

Wang, Shijie, Wenqi Fan, Hui Liu, et al.. (2025). Graph Machine Learning in the Era of Large Language Models (LLMs). ACM Transactions on Intelligent Systems and Technology. 16(5). 1–40. 6 indexed citations

2.

Wu, Nannan, et al.. (2025). Eco-environmental quality assessment of transition region between Qinling Mountains and Huanghuai Plain using Remote Sensing Ecological Index. Geocarto International. 40(1).

3.

Wang, Shijie, et al.. (2025). Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. CityU Scholars. 27152–27168. 4 indexed citations

4.

Jiang, Jinhao, et al.. (2025). RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement. 7064–7074.

5.

Fan, Wenqi, Yujuan Ding, Liangbo Ning, et al.. (2024). A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. 6491–6501. 137 indexed citations breakdown →

6.

Wang, Shijie, et al.. (2024). Multi-Agent Attacks for Black-Box Social Recommendations. ACM Transactions on Information Systems. 43(1). 1–26. 2 indexed citations

7.

Ning, Liangbo, Shijie Wang, Wenqi Fan, et al.. (2024). CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. ArXiv.org. 2284–2295. 7 indexed citations

8.

Fan, Wenqi, et al.. (2023). Trustworthy Recommender Systems: Foundations and Frontiers. 5796–5797. 3 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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