Juan Chen

1.5k citations
96 papers · 822 · h-index 15

Impact in

Papers in

Juan Chen

82 papers receiving 784 citations

Peers

Juan Chen
Comparison fields: 5 of 116
  • Hardware and Architecture 100
  • Computer Networks and Communications 335
  • Acoustics and Ultrasonics 13
  • Signal Processing 115
  • Artificial Intelligence 263
Replace Kai Zhao with:
Kai Zhao China
Ulrich Meyer Germany
Levent Ertöz United States
Nico Piatkowski Germany
Yi Tang China
Hui Lu China
Stuart H. Rubin United States
Andrea Vattani United States
Zhiyang Li China
Xiaohu Qie China
Juan Chen relative to Kai Zhao China Kai Zhao's profile →
Citations per field
00.5×1.5×1.9×
Kai Zhao · 1×
Citations per year

Countries citing papers authored by Juan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Juan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202368
2 200968
3 201363
4 201049
5 201244
6 201343
7 201133
8 200930
9 202326
10 202024
11 200619
12 200818
13 201017
14 202316
15 201015
16 201914
17 202014
18 201013
19
Efficacy of medical thoracoscopic talc pleurodesis in malignant pleural effusion caused by different types of tumors and different pathological classifications of lung cancer.
201513
20 202312

About Juan Chen

Juan Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 96 papers that have together received 822 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Network Security and Intrusion Detection (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Distributed and Parallel Computing Systems (7 papers), Anomaly Detection Techniques and Applications (6 papers), Video Analysis and Summarization (5 papers), Data Management and Algorithms (5 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Hardware and Architecture (100 citations), Computer Networks and Communications (335 citations), Acoustics and Ultrasonics (13 citations), Signal Processing (115 citations) and Artificial Intelligence (263 citations). Juan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengsheng Wang, Peng Chen, Dayou Liu, Hui Liu, Ming Cao, Jun-an Lu, Jianmin Jiang, Yunfei Du, Feng Wang and Zhiming Zhao. Their work appears in journals such as PLoS ONE, Multimedia Tools and Applications, Future Generation Computer Systems, Tsinghua Science & Technology and Environmental Technology.

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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