Junkun Chen

2.0k citations
63 papers · 1.4k · 1 hit paper · h-index 16

Impact in

Papers in

Junkun Chen

52 papers receiving 1.3k citations

Junkun Chen's Hit Papers

VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research 2019 · 308 citations
3080+2+4Years since publication100200300

Peers

Junkun Chen
Comparison fields: 5 of 120
  • Bioengineering 237
  • Computer Vision and Pattern Recognition 331
  • Electrochemistry 85
  • Electrical and Electronic Engineering 642
  • Materials Chemistry 405
Replace Rongrong Wang with:
Rongrong Wang China
Chenglin Liu China
Enamul Hoque Canada
Mahmood Ul Haq China
Fang Hu China
Linghui Zhu China
Yuhan Zhao China
Xiaomei Yan China
Kaiyuan Shen China
Migyung Cho South Korea
Junkun Chen relative to Rongrong Wang China Rongrong Wang's profile →
Citations per field
00.5×3.2×
Rongrong Wang · 1×
Citations per year

Countries citing papers authored by Junkun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Junkun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
Hit paper breakdown →
2019308
2 2021173
3 2021132
4 202188
5 202170
6 202159
7 201858
8 202054
9 202053
10 202044
11 201941
12 202025
13 202123
14 202123
15 202320
16 201116
17 201815
18 202115
19 202214
20 202112

About Junkun Chen

Junkun Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Bioengineering, Genetics and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (13 papers), Natural Language Processing Techniques (11 papers), Topic Modeling (7 papers), Analytical Chemistry and Sensors (7 papers), Speech Recognition and Synthesis (6 papers), Prenatal Screening and Diagnostics (5 papers), ZnO doping and properties (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Bioengineering (237 citations), Computer Vision and Pattern Recognition (331 citations), Electrochemistry (85 citations), Electrical and Electronic Engineering (642 citations) and Materials Chemistry (405 citations). Junkun Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Keying Shi, Xue Bai, He Lv, Jue Wang, Baihe Sun, Jiawei Wu, Xin Wang, William Yang Wang, Yuan‐Fang Wang and Lei Li. Their work appears in journals such as Journal of Hazardous Materials, Marine Drugs, Frontiers in Genetics, Frontiers in Public Health 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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