Bowen Yu

2.7k citations
55 papers · 1.4k · h-index 21

Impact in

Papers in

Bowen Yu

51 papers receiving 1.4k citations

Peers

Bowen Yu
Comparison fields: 5 of 113
  • Artificial Intelligence 845
  • Computer Vision and Pattern Recognition 290
  • Health Informatics 16
  • Computer Science Applications 62
  • Safety Research 94
Replace Emma Strubell with:
Emma Strubell United States
Jieyu Zhao China
John Li United States
Zhiwei Steven Wu China
Kevin Waugh United Kingdom
Ziwei Zhu United States
Grigori Sidorov Mexico
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Citations per field
00.5×8.5×
Emma Strubell · 1×
Citations per year

Countries citing papers authored by Bowen Yu

Since Specialization
Citations

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

Fields of papers citing papers by Bowen Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bowen Yu, 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 Bowen Yu Line = papers co-authored together Bowen Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020209
2 2011141
3 2018119
4 2020104
5 2019100
6 202068
7 202050
8 201642
9 201741
10 202137
11 202036
12 201935
13 201635
14 202034
15 202032
16 202130
17 202129
18 202025
19 201625
20 202324

About Bowen Yu

Bowen Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Communication and Computer Science Applications, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Natural Language Processing Techniques (22 papers), Advanced Text Analysis Techniques (9 papers), Text and Document Classification Technologies (7 papers), Advanced Graph Neural Networks (6 papers), Knowledge Management and Sharing (4 papers), Data Visualization and Analytics (4 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Artificial Intelligence (845 citations), Computer Vision and Pattern Recognition (290 citations), Health Informatics (16 citations), Computer Science Applications (62 citations) and Safety Research (94 citations). Bowen Yu has collaborated with scholars based in China, United States and India. Frequent co-authors include Tingwen Liu, Claudio Silva, Tingwen Liu, Haiyi Zhu, Zhenyu Zhang, Limin Sun, Hongsong Zhu, Loren Terveen, Yucheng Wang and Yueyang Zhang. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Chemical Communications, IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Information Systems and Journal of Radioanalytical and Nuclear Chemistry.

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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