X.Z. Wang

28 papers receiving 843 citations

Peers

X.Z. Wang
Comparison fields: 5 of 105
  • Analytical Chemistry 141
  • Filtration and Separation 28
  • Control and Systems Engineering 283
  • Industrial and Manufacturing Engineering 74
  • Statistics, Probability and Uncertainty 48
Replace Ian T. Cameron with:
Ian T. Cameron Australia
Massimiliano Barolo Italy
Min‐Sen Chiu Singapore
Richard S. H. Mah United States
Dale F. Rudd United States
S. Feyo de Azevedo Portugal
R.S.H. Mah United States
Vladimir Mahalec Canada
Jixin Qian China
Sunwon Park South Korea
X.Z. Wang relative to Ian T. Cameron Australia Ian T. Cameron's profile →
Citations per field
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Ian T. Cameron · 1×
Citations per year

Countries citing papers authored by X.Z. Wang

Since Specialization
Citations

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

Fields of papers citing papers by X.Z. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside X.Z. 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 X.Z. Wang Line = papers co-authored together X.Z. Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004148
2 2001146
3 2005101
4 200786
5 199980
6 200060
7 200045
8 199927
9 199518
10 199518
11 199618
12 199717
13 201115
14 199614
15 200013
16 199813
17 199412
18 199611
19 199710
20 19979

About X.Z. Wang

X.Z. Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Analytical Chemistry and Management Information Systems, having authored 28 papers that have together received 892 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (14 papers), Advanced Control Systems Optimization (6 papers), Fuzzy Logic and Control Systems (4 papers), Mineral Processing and Grinding (4 papers), AI-based Problem Solving and Planning (4 papers), Business Process Modeling and Analysis (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Advanced Data Processing Techniques (3 papers). The work is most often cited by research in Analytical Chemistry (141 citations), Filtration and Separation (28 citations), Control and Systems Engineering (283 citations), Industrial and Manufacturing Engineering (74 citations) and Statistics, Probability and Uncertainty (48 citations). X.Z. Wang has collaborated with scholars based in United Kingdom, Japan and China. Frequent co-authors include Jorge Calderon De Anda, Kevin J. Roberts, C. McGreavy, Shuang‐Hua Yang, Rodolfo García‐Flores, Yuanyuan Huang, Ming Lu, Qifeng Chen, Lande Liu and Stephen F. Collins. Their work appears in journals such as Computers & Chemical Engineering, Chemical Engineering Science, Process Safety and Environmental Protection, Engineering Applications of Artificial Intelligence and Journal of Process Control.

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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