Xiangfeng Luo

3.8k citations
246 papers · 2.5k indexed · h-index 25

Xiangfeng Luo

222 papers receiving 2.4k citations

Peers

Xiangfeng Luo
Comparison fields: 5 of 131
  • Artificial Intelligence 1.5k
  • Information Systems 589
  • Computer Vision and Pattern Recognition 511
  • Statistical and Nonlinear Physics 289
  • Transportation 105
Replace Quanquan Gu with:
Quanquan Gu United States
Scott Sanner Canada
Meng Jiang United States
Neil Yorke‐Smith Netherlands
Kuansan Wang United States
Ramesh Nallapati United States
Jin Huang China
Prem Melville United States
Junhao Wen China
Dawei Yin China
Xiangfeng Luo relative to Quanquan Gu United States Quanquan Gu's profile →
Citations per field
00.5×1.5×2.1×
Quanquan Gu · 1×
Citations per year

Countries citing papers authored by Xiangfeng Luo

Since Specialization
Citations

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

Fields of papers citing papers by Xiangfeng Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202412
3 20247
4 20240
5 20243
6 20244
7 20242
8 20244
9 20240
10 20245
11 20240
12 20243
13 202327
14 20231
15 20191
16 20185
17
Semantic Emotion-Topic Model Based Social Emotion Mining.
20182
18
Association Link Network Based Semantic Coherence Measurement for Short Texts of Web Events.
20173
19
Outbreak Power Measurement for Evolution Course of Web Events.
20161
20 20111

About Xiangfeng Luo

Xiangfeng Luo is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems, having authored 246 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cognitive Computing and Networks (57 papers), Topic Modeling (49 papers), Advanced Text Analysis Techniques (48 papers), Complex Network Analysis Techniques (37 papers), Semantic Web and Ontologies (29 papers), Natural Language Processing Techniques (21 papers), Web Data Mining and Analysis (19 papers) and Advanced Graph Neural Networks (19 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Information Systems (589 citations) and Computer Vision and Pattern Recognition (511 citations). Xiangfeng Luo has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Zheng Xu, Xiao Wei, Junyu Xuan, Lin Mei, Chuanping Hu, Yunhuai Liu, Hang Yu, Jie Lü, Guangquan Zhang and Jie Yu. Their work appears in journals such as Nature Communications, European Journal of Operational Research and Expert Systems with Applications.

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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