Yuning Mao

4.2k citations
33 papers · 670 · h-index 16

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Advanced Graph Neural Networks
    • Domain Adaptation and Few-Shot Learning

Papers in

    • Topic Modeling 17
    • Natural Language Processing Techniques 13
    • Advanced Text Analysis Techniques 7
    • Speech Recognition and Synthesis 3
    • Text and Document Classification Technologies 3
    • Speech and dialogue systems 2
    • Web Data Mining and Analysis 3

Yuning Mao

30 papers receiving 654 citations

Peers

Yuning Mao
Comparison fields: 5 of 68
  • Artificial Intelligence 495
  • Health Informatics 11
  • Computer Vision and Pattern Recognition 128
  • Information Systems 82
  • Electronic, Optical and Magnetic Materials 49
Replace Taylor Shin with:
Taylor Shin United States
Chongyang Tao China
Jiaqing Liang China
Bosheng Ding Singapore
Fuli Luo China
Zhen Tan China
Manas Kumar Mishra India
Wenbin Tang China
Junyoung Byun South Korea
Yuning Mao relative to Taylor Shin United States Taylor Shin's profile →
Citations per field
00.5×10×16.5×
Taylor Shin · 1×
Citations per year

Countries citing papers authored by Yuning Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yuning Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuning Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuning Mao Line = papers co-authored together Yuning Mao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021112
2 202269
3 202259
4 201950
5 202237
6 202034
7 202034
8 202229
9 202027
10 201823
11 201622
12 202121
13 202420
14 201817
15 202316
16 202416
17 201914
18 202313
19 202312
20 202410

About Yuning Mao

Yuning Mao is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 670 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers), Advanced Text Analysis Techniques (7 papers), Web Data Mining and Analysis (3 papers), Advancements in Battery Materials (3 papers), Speech Recognition and Synthesis (3 papers), Text and Document Classification Technologies (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (495 citations), Health Informatics (11 citations), Computer Vision and Pattern Recognition (128 citations), Information Systems (82 citations) and Electronic, Optical and Magnetic Materials (49 citations). Yuning Mao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jiawei Han, Jiaming Shen, Li Yang, Qinghua Tian, Jianfeng Gao, Weizhu Chen, Xiaodong Liu, Pengcheng He, Yelong Shen and Xiang Ren. Their work appears in journals such as Journal of Alloys and Compounds, Applied Surface Science, Cancer Gene Therapy, Journal of Education Humanities and Social Sciences and Findings of the Association for Computational Linguistics: ACL 2022.

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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