Hongda Chen

6.7k citations
243 papers · 5.4k · 1 hit paper · h-index 37

Impact in

Papers in

Hongda Chen

226 papers receiving 5.3k citations

Hongda Chen's Hit Papers

Point-of-care testing based on smartphone: The current state-of-the-art (2017–2018) 2019 · 290 citations
2900+2+4Years since publication50100150200250

Peers

Hongda Chen
Comparison fields: 5 of 168
  • Biomedical Engineering 2.3k
  • Biomaterials 472
  • Polymers and Plastics 446
  • Materials Chemistry 1.5k
  • Electrical and Electronic Engineering 1.8k
Replace Tao Hu with:
Tao Hu China
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Lei Zhang China
Feifei Wang China
Liwei Liu China
Jia‐Yaw Chang Taiwan
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Hongda Chen relative to Tao Hu China Tao Hu's profile →
Citations per field
00.5×1.5×2.0×
Tao Hu · 1×
Citations per year

Countries citing papers authored by Hongda Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hongda Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 243 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011480
2
Point-of-care testing based on smartphone: The current state-of-the-art (2017–2018)
Hit paper breakdown →
2019290
3 2015270
4 2017252
5 2013169
6 2014129
7 2017128
8 2009128
9 2015104
10 2016104
11 201894
12 201577
13 201975
14 202174
15 202072
16 202365
17 202360
18 202156
19 201253
20 201552

About Hongda Chen

Hongda Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Materials Chemistry and Polymers and Plastics, having authored 243 papers that have together received 5.4k indexed citations. Recurring topics across this work include Photonic and Optical Devices (61 papers), Semiconductor Lasers and Optical Devices (41 papers), Neuroscience and Neural Engineering (34 papers), Advanced Memory and Neural Computing (19 papers), Advanced Photonic Communication Systems (19 papers), Nanoplatforms for cancer theranostics (19 papers), EEG and Brain-Computer Interfaces (18 papers) and biodegradable polymer synthesis and properties (18 papers). The work is most often cited by research in Biomedical Engineering (2.3k citations), Biomaterials (472 citations), Polymers and Plastics (446 citations), Materials Chemistry (1.5k citations) and Electrical and Electronic Engineering (1.8k citations). Hongda Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rickey Y. Yada, Zhenxin Wang, Zhiyuan Fan, Norman R. Scott, Zhaoxin Geng, Weihua Pei, Xiaoqing Lv, Beiju Huang, Huimao Zhang and Chuantong Cheng. Their work appears in journals such as Optics Communications, Science China Information Sciences, IEEE photonics journal, Journal of Materials Chemistry B and Journal of Semiconductors.

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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