Xian-Ling Mao

252 total papers · 3.0k total citations
113 papers, 1.6k citations indexed

About

Xian-Ling Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xian-Ling Mao has authored 113 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Artificial Intelligence, 39 papers in Computer Vision and Pattern Recognition and 25 papers in Information Systems. Recurrent topics in Xian-Ling Mao's work include Topic Modeling (60 papers), Natural Language Processing Techniques (37 papers) and Multimodal Machine Learning Applications (28 papers). Xian-Ling Mao is often cited by papers focused on Topic Modeling (60 papers), Natural Language Processing Techniques (37 papers) and Multimodal Machine Learning Applications (28 papers). Xian-Ling Mao collaborates with scholars based in China, Singapore and United States. Xian-Ling Mao's co-authors include Wei Wei, Heyan Huang, Zewen Chi, Rong-Cheng Tu, Ding Zou, Furu Wei, Feida Zhu, Li Dong, Ziyang Wang and Song Xia and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Xian-Ling Mao

95 papers receiving 1.5k citations

Hit Papers

Multi-level Cross-view Co... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Xian-Ling Mao 1.2k 600 439 63 49 113 1.6k
Wenjie Wang 842 0.7× 404 0.7× 560 1.3× 109 1.7× 43 0.9× 85 1.4k
Ting Liu 1.5k 1.3× 275 0.5× 250 0.6× 87 1.4× 40 0.8× 94 1.9k
Shujian Huang 1.5k 1.3× 538 0.9× 614 1.4× 109 1.7× 97 2.0× 95 1.8k
Jiajun Chen 1.2k 1.0× 342 0.6× 110 0.3× 35 0.6× 60 1.2× 123 1.4k
Jie Zhou 1.3k 1.1× 324 0.5× 237 0.5× 70 1.1× 60 1.2× 54 1.6k
Matt Gardner 1.4k 1.2× 467 0.8× 162 0.4× 108 1.7× 27 0.6× 59 1.6k
Lifeng Shang 1.5k 1.3× 890 1.5× 250 0.6× 60 1.0× 69 1.4× 81 2.1k
Zhifang Sui 1.6k 1.4× 355 0.6× 250 0.6× 122 1.9× 49 1.0× 115 2.0k
Lei Hou 1.1k 1.0× 204 0.3× 255 0.6× 235 3.7× 43 0.9× 102 1.4k
Bin Wang 1.0k 0.9× 474 0.8× 127 0.3× 76 1.2× 42 0.9× 63 1.3k

Countries citing papers authored by Xian-Ling Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xian-Ling Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xian-Ling Mao. 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 Xian-Ling Mao. The network helps show where Xian-Ling Mao may publish in the future.

Co-authorship network of co-authors of Xian-Ling Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Xian-Ling Mao. A scholar is included among the top collaborators of Xian-Ling Mao 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 Xian-Ling Mao. Xian-Ling Mao 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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