Wen Xiao

558 citations
18 papers · 337 · h-index 8

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Advanced Graph Neural Networks
    • Recommender Systems and Techniques

Papers in

Wen Xiao

16 papers receiving 325 citations

Peers

Wen Xiao
Comparison fields: 5 of 75
  • Artificial Intelligence 216
  • Information Systems 106
  • Computer Vision and Pattern Recognition 77
  • Chemical Health and Safety 2
  • Business and International Management 4
Replace Yanghoon Kim with:
Yanghoon Kim South Korea
Noor Azah Samsudin Malaysia
Deepa Anand India
Hengyi Cai China
Suhas Ranganath United States
Yun-Cheng Wang United States
Masoud Makrehchi Canada
Da Luo China
Yongping Du China
Wen Xiao relative to Yanghoon Kim South Korea Yanghoon Kim's profile →
Citations per field
00.5×
Yanghoon Kim · 1×
Citations per year

Countries citing papers authored by Wen Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Wen Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2021100
2 201995
3 201428
4 202025
5 199819
6 202017
7 202114
8 20207
9 20217
10 20216
11 20216
12 20205
13 20205
14
Retrieval of Cloud Parameters Using Infrared Hyperspectral Observations
20071
15
Applications of New Ideas of Driving Safety Measures on Construction of Highways in Mountain Areas
20061
16 20201
17 20240
18 20250

About Wen Xiao

Wen Xiao is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications, having authored 18 papers that have together received 337 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Advanced Text Analysis Techniques (3 papers), Data Visualization and Analytics (3 papers), Software Engineering Research (2 papers), Video Analysis and Summarization (2 papers), Recommender Systems and Techniques (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (216 citations), Information Systems (106 citations), Computer Vision and Pattern Recognition (77 citations), Chemical Health and Safety (2 citations) and Business and International Management (4 citations). Wen Xiao has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Giuseppe Carenini, Bei Hui, Lizong Zhang, Hong Cheng, Yu Rong, Honghui Mei, Wei Chen, D.B. Ingham, Hyeju Jang and Fan Zhang. Their work appears in journals such as Visual Informatics, Translational Psychiatry, American Industrial Hygiene Association Journal, Applied Intelligence and IEEE Transactions on Visualization and Computer Graphics.

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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