Menghan Chen

1.0k citations
73 papers · 747 · h-index 16

Impact in

Papers in

Menghan Chen

64 papers receiving 732 citations

Peers

Menghan Chen
Comparison fields: 5 of 144
  • Management Science and Operations Research 75
  • Pharmacology 53
  • Neurology 46
  • Pharmacology 73
  • Complementary and alternative medicine 35
Replace Chi‐Chang Chang with:
Chi‐Chang Chang Taiwan
Devvret Verma India
Tianyi Zhao China
Kai Zheng China
Yicong Li China
Mohammed Gollapalli Saudi Arabia
Mengjie Zhou China
Seon Wook Kim South Korea
Xiaowei Xu China
Menghan Chen relative to Chi‐Chang Chang Taiwan Chi‐Chang Chang's profile →
Citations per field
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Chi‐Chang Chang · 1×
Citations per year

Countries citing papers authored by Menghan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Menghan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016107
2 201757
3 202240
4 201539
5 201838
6 202236
7 201732
8 202132
9 202024
10 202223
11 202220
12 202120
13 202017
14 201917
15 201617
16 202215
17 201713
18 202311
19 202111
20 202110

About Menghan Chen

Menghan Chen is a scholar working on Molecular Biology, Signal Processing, Artificial Intelligence, Pharmacology and Computational Mechanics, having authored 73 papers that have together received 747 indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Efficiency Analysis Using DEA (5 papers), Radar Systems and Signal Processing (5 papers), Direction-of-Arrival Estimation Techniques (5 papers), Pharmacological Effects of Natural Compounds (4 papers), Economic and Environmental Valuation (4 papers), Gene Regulatory Network Analysis (4 papers) and Advanced Adaptive Filtering Techniques (4 papers). The work is most often cited by research in Management Science and Operations Research (75 citations), Pharmacology (53 citations), Neurology (46 citations), Pharmacology (73 citations) and Complementary and alternative medicine (35 citations). Menghan Chen has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Ying Tang, Feng Yang, Sheng Ang, Ling‐Yi Kong, Chao Han, Hongyuan Gao, Yadi Geng, Chao Guo, Zhendong Wang and Chuanxing Wan. Their work appears in journals such as Computers & Industrial Engineering, Journal of Chromatography A, Frontiers in Plant Science, Digital Signal Processing and Polymer Degradation and Stability.

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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