Mingxin Gan

951 total citations
68 papers, 672 citations indexed

About

Mingxin Gan is a scholar working on Information Systems, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Mingxin Gan has authored 68 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Information Systems, 30 papers in Artificial Intelligence and 14 papers in Molecular Biology. Recurrent topics in Mingxin Gan's work include Recommender Systems and Techniques (44 papers), Advanced Graph Neural Networks (20 papers) and Machine Learning in Bioinformatics (12 papers). Mingxin Gan is often cited by papers focused on Recommender Systems and Techniques (44 papers), Advanced Graph Neural Networks (20 papers) and Machine Learning in Bioinformatics (12 papers). Mingxin Gan collaborates with scholars based in China, United States and United Kingdom. Mingxin Gan's co-authors include Rui Jiang, Peng He, Ling Gao, H. Y. Zhang, Xiongtao Zhang, Hairong Lv, Shengquan Chen, Qiao Liu, Jiaxin Wu and Lingling Yi and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mingxin Gan

61 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingxin Gan China	16	375	248	167	79	69	68	672
Từ Minh Phương Vietnam	16	313 0.8×	385 1.6×	136 0.8×	117 1.5×	34 0.5×	53	751
Qinke Peng China	15	216 0.6×	332 1.3×	314 1.9×	100 1.3×	19 0.3×	94	929
Hayato Yamana Japan	14	269 0.7×	337 1.4×	107 0.6×	83 1.1×	40 0.6×	129	762
Heri Ramampiaro Norway	12	281 0.7×	418 1.7×	52 0.3×	65 0.8×	20 0.3×	48	704
Hannah Bast Germany	14	112 0.3×	411 1.7×	80 0.5×	105 1.3×	35 0.5×	41	653
Rolf Schwitter Australia	14	258 0.7×	560 2.3×	65 0.4×	35 0.4×	36 0.5×	63	762
Zaiqiao Meng United Kingdom	17	342 0.9×	721 2.9×	153 0.9×	162 2.1×	36 0.5×	68	1.1k
Marco Mesiti Italy	16	222 0.6×	399 1.6×	172 1.0×	67 0.8×	15 0.2×	72	789
Guobing Zou China	15	354 0.9×	245 1.0×	160 1.0×	70 0.9×	25 0.4×	98	728
Yongfeng Zhang China	11	574 1.5×	590 2.4×	39 0.2×	200 2.5×	22 0.3×	26	875

Countries citing papers authored by Mingxin Gan

Since Specialization

Citations

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

Fields of papers citing papers by Mingxin Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxin Gan

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

All Works

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20 of 20 papers shown

Zhang, H. Y. & Mingxin Gan. (2025). A self-supervised graph-learning method for reliable-relation identification in social recommendation. World Wide Web. 28(1).

Gan, Mingxin, et al.. (2025). Modeling category and multi-level user intentions for session-based recommendation. Engineering Applications of Artificial Intelligence. 158. 111248–111248.

Gan, Mingxin, et al.. (2024). CGG: Category-aware global graph contrastive learning for session-based recommendation. Knowledge-Based Systems. 305. 112661–112661. 1 indexed citations

Xu, Feng, et al.. (2024). IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning. Information Processing & Management. 61(6). 103871–103871. 2 indexed citations

Zhang, H. Y. & Mingxin Gan. (2024). MBDL: Exploring dynamic dependency among various types of behaviors for recommendation. Information Systems. 124. 102407–102407. 2 indexed citations

Gan, Mingxin, et al.. (2024). Exploiting dynamic social feedback for session-based recommendation. Information Processing & Management. 61(3). 103632–103632. 11 indexed citations

Li, Shuo, Mingxin Gan, & Jing Xu. (2024). SocialCU: integrating commonalities and uniqueness of users and items for social recommendation. World Wide Web. 27(6). 1 indexed citations

Gan, Mingxin, et al.. (2024). Sequential-hierarchical attention network: Exploring the hierarchical intention feature in POI recommendation. World Wide Web. 27(6). 1 indexed citations

Gan, Mingxin, et al.. (2023). MMusic: a hierarchical multi-information fusion method for deep music recommendation. Journal of Intelligent Information Systems. 61(3). 795–818. 4 indexed citations

10.

Gan, Mingxin, et al.. (2023). A multi-behavior recommendation method exploring the preference differences among various behaviors. Expert Systems with Applications. 228. 120316–120316. 12 indexed citations

11.

Gan, Mingxin, et al.. (2023). VIGA: A variational graph autoencoder model to infer user interest representations for recommendation. Information Sciences. 640. 119039–119039. 16 indexed citations

12.

Hua, Shanshan & Mingxin Gan. (2023). Intention-aware denoising graph neural network for session-based recommendation. Applied Intelligence. 53(20). 23097–23112. 5 indexed citations

13.

Gan, Mingxin, et al.. (2023). Multi-behavior recommendation based on intent learning. Multimedia Systems. 29(6). 3655–3668. 3 indexed citations

14.

Zhang, H. Y., et al.. (2021). Incorporating Memory-Based Preferences and Point-of-Interest Stickiness into Recommendations in Location-Based Social Networks. ISPRS International Journal of Geo-Information. 10(1). 36–36. 11 indexed citations

15.

Gan, Mingxin, et al.. (2021). Music Recommendation Method Based on Multi-Source Information Fusion. Shuju fenxi yu zhishi faxian. 5(2). 94–105. 1 indexed citations

16.

Gan, Mingxin & H. Y. Zhang. (2020). DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation. Complexity. 2020. 1–12. 7 indexed citations

17.

Gan, Mingxin & Xuedong Gao. (2014). Studies on Ontology Meta-Model for Isomorphic Architecture of Information Systems based on Organizational Semiotics. Communications of the IIMA. 7(3).

18.

Gan, Mingxin, et al.. (2013). From Ontology to Semantic Similarity: Calculation of Ontology‐Based Semantic Similarity. The Scientific World JOURNAL. 2013(1). 793091–793091. 71 indexed citations

19.

Wu, Jiaxin, et al.. (2011). Prediction of Disease-associated Single Amino Acid Polymorphisms Based on Physiochemical Features. International Journal of Bioscience Biochemistry and Bioinformatics. 102–108. 2 indexed citations

20.

Jiang, Rui, Mingxin Gan, & Peng He. (2011). Constructing a gene semantic similarity network for the inference of disease genes. BMC Systems Biology. 5(Suppl 2). S2–S2. 68 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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