Mingxiao An

1.1k total citations
8 papers, 414 citations indexed

About

Mingxiao An is a scholar working on Information Systems, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Mingxiao An has authored 8 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Artificial Intelligence and 2 papers in Civil and Structural Engineering. Recurrent topics in Mingxiao An's work include Recommender Systems and Techniques (5 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (2 papers). Mingxiao An is often cited by papers focused on Recommender Systems and Techniques (5 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (2 papers). Mingxiao An collaborates with scholars based in China and United States. Mingxiao An's co-authors include Fangzhao Wu, Xing Xie, Chuhan Wu, Yongfeng Huang, Zheng Liu, Kun Zhang, Jianqiang Huang, Tao Qi, Yifan Song and Majd Sakr and has published in prestigious journals such as Applied Sciences and Bulletin of Engineering Geology and the Environment.

In The Last Decade

Mingxiao An

8 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingxiao An China 6 361 355 84 23 21 8 414
Lemei Zhang Norway 6 184 0.5× 201 0.6× 47 0.6× 30 1.3× 24 1.1× 9 260
Özlem Özgöbek Norway 7 176 0.5× 168 0.5× 41 0.5× 46 2.0× 27 1.3× 30 228
Danyang Liu China 5 195 0.5× 202 0.6× 44 0.5× 22 1.0× 22 1.0× 7 276
Shaoyun Shi China 9 134 0.4× 220 0.6× 37 0.4× 10 0.4× 31 1.5× 15 273
Gabriel de Souza Pereira Moreira United States 7 185 0.5× 144 0.4× 47 0.6× 12 0.5× 38 1.8× 18 220
Felice Antonio Merra Italy 8 149 0.4× 191 0.5× 87 1.0× 8 0.3× 41 2.0× 19 266
Teng Xiao China 9 176 0.5× 182 0.5× 47 0.6× 10 0.4× 66 3.1× 17 259
Deqing Yang China 9 120 0.3× 177 0.5× 35 0.4× 13 0.6× 28 1.3× 34 232
Shangwen Lv China 7 74 0.2× 285 0.8× 55 0.7× 20 0.9× 17 0.8× 11 309

Countries citing papers authored by Mingxiao An

Since Specialization
Citations

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

Fields of papers citing papers by Mingxiao An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxiao An

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

All Works

8 of 8 papers shown
1.
An, Mingxiao, et al.. (2024). Study on the causes, deformation and failure mechanisms of loess multistage collapse. Bulletin of Engineering Geology and the Environment. 83(7). 2 indexed citations
2.
Song, Yifan, et al.. (2022). Cheating Detection in Online Assessments via Timeline Analysis. 98–104. 6 indexed citations
3.
Li, Xian, et al.. (2022). A New Method for Evaluating the Homogeneity and Structure of Remolded Loess Samples with the Air Permeability Coefficient. Applied Sciences. 12(19). 9412–9412. 2 indexed citations
4.
An, Mingxiao, Fangzhao Wu, Chuhan Wu, et al.. (2019). Neural News Recommendation with Long- and Short-term User Representations. 336–345. 185 indexed citations
5.
Wu, Chuhan, Fangzhao Wu, Mingxiao An, Yongfeng Huang, & Xing Xie. (2019). Neural News Recommendation with Topic-Aware News Representation. 1154–1159. 43 indexed citations
6.
Wu, Chuhan, Fangzhao Wu, Mingxiao An, et al.. (2019). Neural News Recommendation with Heterogeneous User Behavior. 4873–4882. 24 indexed citations
7.
Wu, Chuhan, Fangzhao Wu, Mingxiao An, et al.. (2019). Neural News Recommendation with Attentive Multi-View Learning. 3863–3869. 136 indexed citations
8.
Liu, Zheng, et al.. (2019). Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. 3059–3065. 16 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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