Changzhou Wang

647 citations
46 papers · 467 · h-index 12

Impact in

Papers in

Changzhou Wang

42 papers receiving 432 citations

Peers

Changzhou Wang
Comparison fields: 5 of 58
  • Signal Processing 132
  • Information Systems 110
  • Computer Networks and Communications 100
  • Materials Chemistry 189
  • Artificial Intelligence 119
Replace João F. Ferreira with:
João F. Ferreira Portugal
James Benson United States
Risala Tasin Khan Bangladesh
Yongfeng Chen China
Eunjin Jung South Korea
Jae‐Hyoung Yoo South Korea
Da‐Zhi Sun China
Tan Yang China
Lieven Desmet Belgium
Changzhou Wang relative to João F. Ferreira Portugal João F. Ferreira's profile →
Citations per field
00.5×1.5×2.3×
João F. Ferreira · 1×
Citations per year

Countries citing papers authored by Changzhou Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changzhou Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Changzhou 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 Changzhou Wang Line = papers co-authored together Changzhou Wang 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 200263
2 199851
3 200634
4 201032
5 200430
6 201016
7 201416
8 201014
9 201514
10 200614
11 201013
12
Multilevel Filtering for High Dimensional Nearest Neighbor Search.
200011
13 201010
14 201110
15 20019
16
Modeling Bayesian Networks for Autonomous Diagnosis of Web Services.
20069
17 20148
18 20028
19 20067
20 20127

About Changzhou Wang

Changzhou Wang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems and Signal Processing, having authored 46 papers that have together received 467 indexed citations. Recurring topics across this work include Phase-change materials and chalcogenides (19 papers), Chalcogenide Semiconductor Thin Films (15 papers), Service-Oriented Architecture and Web Services (9 papers), Advanced Database Systems and Queries (8 papers), Liquid Crystal Research Advancements (8 papers), Data Management and Algorithms (7 papers), Nonlinear Optical Materials Studies (6 papers) and Time Series Analysis and Forecasting (5 papers). The work is most often cited by research in Signal Processing (132 citations), Information Systems (110 citations), Computer Networks and Communications (100 citations), Materials Chemistry (189 citations) and Artificial Intelligence (119 citations). Changzhou Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiwei Zhai, Yunyao Qu, Zhitang Song, Guijun Wang, Mingcheng Sun, Tianshu Lai, Sannian Song, Haiqin Wang, Fei Shang and Bo Shen. Their work appears in journals such as Applied Surface Science, Electrochemical and Solid-State Letters, Japanese Journal of Applied Physics, Solid-State Electronics and Applied Physics Letters.

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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