Changju Yang

2.8k citations
51 papers · 2.3k · h-index 21

Impact in

Papers in

Changju Yang

50 papers receiving 2.2k citations

Peers

Changju Yang
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 861
  • Statistical and Nonlinear Physics 566
  • Electrical and Electronic Engineering 1.9k
  • Cognitive Neuroscience 589
  • Computer Networks and Communications 480
Replace Ping Zhou with:
Ping Zhou China
Romis Attux Brazil
Yujie Wu China
Mahmut Özer Türkiye
Ashish Ranjan India
Xinlei An China
Yanqiu Che China
Pierre‐Emmanuel Gaillardon Switzerland
S. Celma Spain
Changju Yang relative to Ping Zhou China Ping Zhou's profile →
Citations per field
00.5×3.6×
Ping Zhou · 1×
Citations per year

Countries citing papers authored by Changju Yang

Since Specialization
Citations

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

Fields of papers citing papers by Changju Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012363
2 2012315
3 2011299
4 2011220
5 2014138
6 2010107
7 200286
8 201578
9 201960
10 201259
11 201454
12 201454
13 201454
14 200238
15 201835
16 201332
17 201632
18 201327
19 201426
20 201825

About Changju Yang

Changju Yang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Computer Networks and Communications and Health, Toxicology and Mutagenesis, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (35 papers), Neuroscience and Neural Engineering (23 papers), CCD and CMOS Imaging Sensors (11 papers), Neural dynamics and brain function (10 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Air Quality and Health Impacts (5 papers), Photoreceptor and optogenetics research (5 papers) and Atmospheric chemistry and aerosols (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (861 citations), Statistical and Nonlinear Physics (566 citations), Electrical and Electronic Engineering (1.9k citations), Cognitive Neuroscience (589 citations) and Computer Networks and Communications (480 citations). Changju Yang has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Hyongsuk Kim, Leon O. Chua, Maheshwar Pd. Sah, Shyam Prasad Adhikari, Tamás Roska, Ram Kaji Budhathoki, Seong-Ik Cho, Zubaer Ibna Mannan, Guor‐Cheng Fang and Yuh‐Shen Wu. Their work appears in journals such as International Journal of Bifurcation and Chaos, IEEE Transactions on Circuits and Systems I Regular Papers, Sensors, Environmental Forensics and Neurocomputing.

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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