Hanchi Chen

850 citations
46 papers · 592 · h-index 15

Impact in

Papers in

Hanchi Chen

42 papers receiving 579 citations

Peers

Hanchi Chen
Comparison fields: 5 of 110
  • Signal Processing 196
  • Biotechnology 65
  • Cognitive Neuroscience 122
  • Computational Mechanics 92
  • Biomedical Engineering 175
Replace Jamal Hussaini with:
Jamal Hussaini Malaysia
Paul Molin France
Heejin Kim United States
Yuanhua Zhou China
Yaozong Pan China
Pragya Mishra India
Xinrui Yu United States
Ruolin Wang China
Jie Luo China
Hanchi Chen relative to Jamal Hussaini Malaysia Jamal Hussaini's profile →
Citations per field
00.5×10×13×
Jamal Hussaini · 1×
Citations per year

Countries citing papers authored by Hanchi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hanchi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 201554
3 202053
4 201842
5 202329
6 202128
7 202026
8 201822
9 202218
10 201918
11 201517
12 201616
13 201516
14 201916
15 202015
16 201913
17 201513
18 202113
19 201613
20 202411

About Hanchi Chen

Hanchi Chen is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Signal Processing and Cognitive Neuroscience, having authored 46 papers that have together received 592 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (11 papers), Speech and Audio Processing (11 papers), Enzyme Production and Characterization (10 papers), Hearing Loss and Rehabilitation (10 papers), Acoustic Wave Phenomena Research (6 papers), Advanced Adaptive Filtering Techniques (6 papers), Microbial Metabolites in Food Biotechnology (4 papers) and Biofuel production and bioconversion (4 papers). The work is most often cited by research in Signal Processing (196 citations), Biotechnology (65 citations), Cognitive Neuroscience (122 citations), Computational Mechanics (92 citations) and Biomedical Engineering (175 citations). Hanchi Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Thushara D. Abhayapala, Prasanga N. Samarasinghe, Xiaolong Chen, Wen Zhang, Yuele Lu, Shijie Liu, Zhi Ma, Linjiang Zhu, Luyi Chen and Ni Liu. Their work appears in journals such as Applied Microbiology and Biotechnology, Advanced Healthcare Materials, The Journal of the Acoustical Society of America, IEEE/ACM Transactions on Audio Speech and Language Processing and AIChE Journal.

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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