Xiaolin Chen

1.2k citations
61 papers · 408 indexed · h-index 11

Xiaolin Chen

57 papers receiving 396 citations

Peers

Xiaolin Chen
Comparison fields: 5 of 66
  • Hardware and Architecture 48
  • Computer Networks and Communications 140
  • Computer Vision and Pattern Recognition 119
  • Artificial Intelligence 160
  • Statistics and Probability 32
Replace Jan Lemeire with:
Jan Lemeire Belgium
Yajian Zhou China
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Andrew Ilyas United States
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Xiaolin Chen relative to Jan Lemeire Belgium Jan Lemeire's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaolin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20230
3 20232
4 202334
5 20233
6 20235
7 20232
8 20215
9 20211
10 20181
11 201711
12 20178
13 201710
14 20162
15 20132
16
A solution to a conjecture on two rainbow connection numbers of a graph.
20121
17
Shanghai Jiao Tong University participation in high-level feature extraction and surveillance event detection at TRECVID 2009
20093
18 20073
19
RDF Based Secure Publishing for XML Documents
20060
20 20060

About Xiaolin Chen

Xiaolin Chen is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Media Technology, Computer Networks and Communications and Statistics and Probability, having authored 61 papers that have together received 408 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Embedded Systems Design Techniques (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Statistical Methods and Inference (5 papers), Advanced Image Processing Techniques (5 papers), Advanced Image Fusion Techniques (4 papers) and Visual Attention and Saliency Detection (4 papers). The work is most often cited by research in Hardware and Architecture (48 citations), Computer Networks and Communications (140 citations), Computer Vision and Pattern Recognition (119 citations), Artificial Intelligence (160 citations) and Statistics and Probability (32 citations). Xiaolin Chen has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Liqiang Nie, Xuemeng Song, Xitao Wen, Kai Bu, Li Erran Li, Yi Liu, Yan Chen, Gerd Ascheid, Yinwei Wei and Yan Chen. Their work appears in journals such as Computational Statistics & Data Analysis, ACM Transactions on Information Systems, IEEE Transactions on Multimedia, ACM Transactions on Multimedia Computing Communications and Applications and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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