Guoren Wang

7.4k total citations · 1 hit paper
401 papers, 4.4k citations indexed

About

Guoren Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Guoren Wang has authored 401 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 202 papers in Artificial Intelligence, 152 papers in Computer Networks and Communications and 121 papers in Signal Processing. Recurrent topics in Guoren Wang's work include Data Management and Algorithms (114 papers), Advanced Database Systems and Queries (62 papers) and Advanced Graph Neural Networks (51 papers). Guoren Wang is often cited by papers focused on Data Management and Algorithms (114 papers), Advanced Database Systems and Queries (62 papers) and Advanced Graph Neural Networks (51 papers). Guoren Wang collaborates with scholars based in China, Hong Kong and United States. Guoren Wang's co-authors include Ye Yuan, Lei Chen, Chi Harold Liu, Junchang Xin, Jeffrey Xu Yu, Yuhai Zhao, Yongjiao Sun, Ge Yu, Shuang Li and Rong-Hua Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Guoren Wang

357 papers receiving 4.3k citations

Hit Papers

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptiv... 2023 2026 2024 2025 2023 40 80 120
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. SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
    2023 129 citations Binhui Xie, Shuang Li 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
Guoren Wang China 33 2.3k 1.1k 1.1k 934 786 401 4.4k
Joshua Zhexue Huang China 38 2.9k 1.3× 1.2k 1.1× 1.3k 1.2× 566 0.6× 1.3k 1.6× 195 5.5k
Wei Fan United States 38 4.2k 1.9× 1.1k 0.9× 662 0.6× 862 0.9× 1.1k 1.4× 133 5.4k
Vincent W. Zheng Singapore 31 2.7k 1.2× 667 0.6× 1.1k 1.0× 661 0.7× 1.3k 1.6× 79 5.1k
Hao Peng China 34 2.9k 1.3× 671 0.6× 544 0.5× 568 0.6× 1.0k 1.3× 177 5.1k
Ge Yu China 30 1.6k 0.7× 1.1k 1.0× 636 0.6× 641 0.7× 721 0.9× 380 3.8k
Kai Zheng China 46 2.2k 1.0× 1.8k 1.6× 968 0.9× 1.6k 1.7× 1.8k 2.3× 357 7.0k
Jing Gao United States 37 4.0k 1.8× 648 0.6× 1.1k 1.0× 788 0.8× 1.2k 1.5× 164 6.4k
Alfredo Cuzzocrea Italy 34 1.8k 0.8× 1.3k 1.2× 459 0.4× 980 1.0× 1.4k 1.7× 401 4.0k
Xiaoyong Du China 29 1.9k 0.8× 824 0.7× 692 0.6× 430 0.5× 1.1k 1.3× 317 3.5k
Zhikui Chen China 37 2.1k 0.9× 1.5k 1.4× 1.3k 1.2× 334 0.4× 890 1.1× 199 5.3k

Countries citing papers authored by Guoren Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guoren Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoren Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guoren Wang. A scholar is included among the top collaborators of Guoren 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 Guoren Wang. Guoren 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.
Li, Lin, et al.. (2025). DC-LoRA: Domain correlation low-rank adaptation for domain incremental learning. SHILAP Revista de lepidopterología. 5(4). 100270–100270.
2.
Han, Rui, et al.. (2025). Loci: Federated Continual Learning of Heterogeneous Tasks at Edge. IEEE Transactions on Parallel and Distributed Systems. 36(4). 775–790. 1 indexed citations
3.
Li, Rong-Hua, et al.. (2024). Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach. 3907–3918. 1 indexed citations
4.
Guo, Jiale, et al.. (2024). A Novel Text Adversarial Sample Generation and Defense Method for SIoT Systems. IEEE Internet of Things Journal. 12(17). 34931–34943.
5.
Li, Rong-Hua, et al.. (2024). Efficient and Provable Effective Resistance Computation on Large Graphs: An Index-based Approach. Proceedings of the ACM on Management of Data. 2(3). 1–27.
6.
Li, Yuanyuan, et al.. (2024). Mining Quasi-Periodic Communities in Temporal Network. 2476–2488. 1 indexed citations
7.
Sun, Henan, et al.. (2024). Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. 2379–2392. 2 indexed citations
8.
Li, Siyu, Zhiwei Zhang, Meihui Zhang, Ye Yuan, & Guoren Wang. (2024). Authenticated Subgraph Matching in Hybrid-Storage Blockchains. 1986–1998. 1 indexed citations
9.
Zhang, Yalong, et al.. (2024). Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs. Proceedings of the VLDB Endowment. 17(11). 2933–2945. 1 indexed citations
10.
Zhao, Kangfei, et al.. (2024). Feed: Towards Personalization-Effective Federated Learning. 1779–1791. 1 indexed citations
11.
12.
Zhang, Wentao, et al.. (2024). Towards Effective and General Graph Unlearning via Mutual Evolution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(12). 13682–13690. 5 indexed citations
13.
Cheng, Yurong, Xiaosong Huang, Yi Yang, et al.. (2024). Cross Online Ride-Sharing for Multiple-Platform Cooperations in Spatial Crowdsourcing. 4140–4152. 2 indexed citations
14.
Zhao, Qiran, et al.. (2024). Indoor Periodic Fingerprint Collections by Vehicular Crowdsensing via Primal-Dual Multi-Agent Deep Reinforcement Learning. IEEE Journal on Selected Areas in Communications. 42(10). 2625–2641. 1 indexed citations
15.
Liu, Chi Harold, et al.. (2024). HiRegEx: Interactive Visual Query and Exploration of Multivariate Hierarchical Data. IEEE Transactions on Visualization and Computer Graphics. 31(1). 699–709.
16.
Han, Rui, et al.. (2023). FedViT: Federated continual learning of vision transformer at edge. Future Generation Computer Systems. 154. 1–15. 7 indexed citations
17.
Li, Rong-Hua, et al.. (2023). Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches. Proceedings of the ACM on Management of Data. 1(2). 1–26. 8 indexed citations
18.
19.
Li, Rong-Hua, et al.. (2023). Efficient Biclique Counting in Large Bipartite Graphs. Proceedings of the ACM on Management of Data. 1(1). 1–26. 10 indexed citations
20.
Xie, Binhui, et al.. (2022). A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation. IEEE Transactions on Knowledge and Data Engineering. 49 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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