Fangli Xu

38 total papers · 782 total citations
17 papers, 398 citations indexed

About

Fangli Xu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fangli Xu has authored 17 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fangli Xu's work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Fangli Xu is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Fangli Xu collaborates with scholars based in China, United States and Canada. Fangli Xu's co-authors include Lingfei Wu, Zhihua Wei, Qi Shen, Shouling Ji, Tengfei Ma, Bo Long, Jian Pei, Chunming Wu, Xiang Ling and Ian En-Hsu Yen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Fangli Xu

16 papers receiving 386 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fangli Xu	310	172	87	32	30	17	398
Pavlos Kefalas	230 0.7×	306 1.8×	38 0.4×	39 1.2×	56 1.9×	19	414
Qiang Cui	169 0.5×	260 1.5×	57 0.7×	26 0.8×	39 1.3×	13	339
Shanchan Wu	264 0.9×	75 0.4×	34 0.4×	26 0.8×	22 0.7×	19	335
Dawei Yin	232 0.7×	204 1.2×	95 1.1×	33 1.0×	41 1.4×	17	409
Cheng Ji	245 0.8×	49 0.3×	51 0.6×	39 1.2×	30 1.0×	16	360
Sérgio Canuto	328 1.1×	114 0.7×	45 0.5×	12 0.4×	19 0.6×	25	417
Anahí Gajardo	147 0.5×	84 0.5×	59 0.7×	111 3.5×	46 1.5×	14	349
Bin Wang	324 1.0×	118 0.7×	62 0.7×	29 0.9×	17 0.6×	24	393
Markus Bayer	254 0.8×	96 0.6×	51 0.6×	10 0.3×	26 0.9×	11	411
Jiancan Wu	247 0.8×	184 1.1×	58 0.7×	16 0.5×	22 0.7×	21	350

Countries citing papers authored by Fangli Xu

Since Specialization

Citations

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

Fields of papers citing papers by Fangli Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangli Xu

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

All Works

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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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