Jiahui Wen

672 citations
36 papers · 526 indexed · h-index 13

Impact in

Papers in

Jiahui Wen

35 papers receiving 521 citations

Peers

Jiahui Wen
Comparison fields: 5 of 84
  • Electronic, Optical and Magnetic Materials 106
  • Computer Vision and Pattern Recognition 106
  • Transportation 32
  • Biomedical Engineering 154
  • Materials Chemistry 154
Replace Chengcheng Yang with:
Chengcheng Yang China
Yanzhi Dou China
Chen Zuo China
Qin Liu China
Liangwei Yang China
Mingyan Gao China
Yu-Yuan Chen China
Sudipto Datta India
Kakali Sarkar India
Jiahui Wen relative to Chengcheng Yang China Chengcheng Yang's profile →
Citations per field
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Chengcheng Yang · 1×
Citations per year

Countries citing papers authored by Jiahui Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jiahui Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 20245
4 20231
5 202311
6 20225
7 20223
8 20212
9 202119
10 201836
11 201848
12 2018109
13 20177
14 201714
15 201617
16 201612
17 20158
18 20157
19 201535
20 20144

About Jiahui Wen

Jiahui Wen is a scholar working on Transportation, Computer Vision and Pattern Recognition, Computer Science Applications, Computer Networks and Communications and Materials Chemistry, having authored 36 papers that have together received 526 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Advanced Nanomaterials in Catalysis (7 papers), IoT and Edge/Fog Computing (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Human Mobility and Location-Based Analysis (5 papers), Expert finding and Q&A systems (3 papers), Topic Modeling (3 papers) and Luminescence and Fluorescent Materials (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (106 citations), Computer Vision and Pattern Recognition (106 citations), Transportation (32 citations), Biomedical Engineering (154 citations) and Materials Chemistry (154 citations). Jiahui Wen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mingyang Zhong, Zhiying Wang, Jadwiga Indulska, Zhou Yang, Hui Cao, Lingxin Chen, Xiuli Fu, Wanli He, Huitao Liu and Jingwen Li. Their work appears in journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Expert Systems with Applications, Computer Networks, The Analyst and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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