Chengning Wang

1.0k citations
34 papers · 804 · h-index 14

Impact in

Papers in

Chengning Wang

33 papers receiving 790 citations

Peers

Chengning Wang
Comparison fields: 5 of 88
  • Physiology 173
  • Hardware and Architecture 51
  • Speech and Hearing 26
  • Pulmonary and Respiratory Medicine 85
  • Health Information Management 12
Replace Takahiro Nakamura with:
Takahiro Nakamura Japan
W. M. Feldman Canada
Latifa Baynouna AlKetbi United Arab Emirates
Aaron Baum United States
Shu‐Fen Wung United States
Tanu Gupta India
Torben Biester Germany
Carl-Étienne Juneau Canada
Noriko Kojimahara Japan
Michael Caputo United States
Chengning Wang relative to Takahiro Nakamura Japan Takahiro Nakamura's profile →
Citations per field
00.5×2×4×6×7.3×
Takahiro Nakamura · 1×
Citations per year

Countries citing papers authored by Chengning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009356
2 201254
3 200951
4 200943
5 200834
6 201926
7 201126
8 201825
9 200821
10 201717
11 201116
12 201015
13 201914
14 200913
15 201013
16 202012
17 201910
18 20189
19 20228
20 20077

About Chengning Wang

Chengning Wang is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Physiology, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 804 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Parallel Computing and Optimization Techniques (10 papers), Asthma and respiratory diseases (7 papers), Semiconductor materials and devices (6 papers), Advanced Data Storage Technologies (4 papers), Neuroscience and Neural Engineering (2 papers) and Transition Metal Oxide Nanomaterials (2 papers). The work is most often cited by research in Physiology (173 citations), Hardware and Architecture (51 citations), Speech and Hearing (26 citations), Pulmonary and Respiratory Medicine (85 citations) and Health Information Management (12 citations). Chengning Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Teresa To, Andrea S. Gershon, Jun Guan, Lisa Cicutto, Jovanka Vasilevska‐Ristovska, Wei Tong, Dan Feng, Jingning Liu, J. Charles Victor and Bing Wu. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, PLoS ONE, Respiratory Medicine, American Journal of Respiratory and Critical Care Medicine and BMC Health Services Research.

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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