Xiaopeng Lu

578 citations
16 papers · 302 · h-index 6

Impact in

Papers in

Xiaopeng Lu

12 papers receiving 295 citations

Peers

Xiaopeng Lu
Comparison fields: 5 of 82
  • Applied Psychology 20
  • Computer Vision and Pattern Recognition 85
  • Health Informatics 4
  • Human-Computer Interaction 15
  • Information Systems and Management 17
Replace Elena Villalba‐Mora with:
Elena Villalba‐Mora Spain
Manuel Ottaviano Spain
Jan Mužík Czechia
Ahjung Byun South Korea
Sergio Guillén Spain
Christina Bröhl Germany
Rune Fensli Norway
Michael Joseph S. Diño Philippines
Moceheb Lazam Shuwandy Iraq
Vera Stara Italy
Xiaopeng Lu relative to Elena Villalba‐Mora Spain Elena Villalba‐Mora's profile →
Citations per field
00.5×2.9×
Elena Villalba‐Mora · 1×
Citations per year

Countries citing papers authored by Xiaopeng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019201
2 202122
3 202120
4 202220
5 202116
6 20229
7 20074
8
[Current situation and influential factors concerning the sexual transmission of HIV in Dehong prefecture, Yunnan province].
20083
9
Dialect and Modernity in the 21st Century Sinophone Cinema
20062
10 20232
11 20212
12 20181
13 20250
14 20250
15 20110
16 20110

About Xiaopeng Lu

Xiaopeng Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Applied Psychology and Aerospace Engineering, having authored 16 papers that have together received 302 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Topic Modeling (5 papers), Digital Mental Health Interventions (3 papers), Natural Language Processing Techniques (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), China's Ethnic Minorities and Relations (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Applied Psychology (20 citations), Computer Vision and Pattern Recognition (85 citations), Health Informatics (4 citations), Human-Computer Interaction (15 citations) and Information Systems and Management (17 citations). Xiaopeng Lu has collaborated with scholars based in United States, China and Puerto Rico. Frequent co-authors include Ahjung Byun, Grace Shin, Amir Karami, Mohammad Hossein Jarrahi, Fei Yu, Kyusong Lee, Tiancheng Zhao, Jean Oh, Zhen Fan and Carolyn Penstein Rosé. Their work appears in journals such as Applied Psychology Health and Well-Being, Journal of Artificial Intelligence Research, Journal of Biomedical Informatics, Journal of Affective Disorders and Journal of Shanghai University (English Edition).

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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