X.Z. Wang

1.0k total citations
29 papers, 835 citations indexed

About

X.Z. Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, X.Z. Wang has authored 29 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 14 papers in Artificial Intelligence and 5 papers in Mechanical Engineering. Recurrent topics in X.Z. Wang's work include Fault Detection and Control Systems (14 papers), Advanced Control Systems Optimization (6 papers) and Mineral Processing and Grinding (4 papers). X.Z. Wang is often cited by papers focused on Fault Detection and Control Systems (14 papers), Advanced Control Systems Optimization (6 papers) and Mineral Processing and Grinding (4 papers). X.Z. Wang collaborates with scholars based in United Kingdom, China and Japan. X.Z. Wang's co-authors include Jorge Calderon De Anda, Kevin J. Roberts, C. McGreavy, Shuang‐Hua Yang, Rodolfo García‐Flores, Yuanyuan Huang, Ming Lu, Qifeng Chen, Stephen F. Collins and Lande Liu and has published in prestigious journals such as Chemical Engineering Science, Powder Technology and Computers & Chemical Engineering.

In The Last Decade

X.Z. Wang

28 papers receiving 789 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
X.Z. Wang United Kingdom	13	265	245	177	134	101	29	835
S. Feyo de Azevedo Portugal	23	893 3.4×	236 1.0×	249 1.4×	120 0.9×	172 1.7×	66	1.7k
Manuel Rodríguez Spain	22	167 0.6×	81 0.3×	99 0.6×	36 0.3×	51 0.5×	75	1.0k
Min‐Sen Chiu Singapore	23	1.6k 5.9×	281 1.1×	304 1.7×	148 1.1×	149 1.5×	104	2.0k
Ian T. Cameron Australia	23	567 2.1×	105 0.4×	379 2.1×	23 0.2×	48 0.5×	96	1.6k
Tong Qiu China	21	498 1.9×	73 0.3×	198 1.1×	128 1.0×	89 0.9×	82	1.3k
Iván Castillo United States	14	461 1.7×	50 0.2×	161 0.9×	92 0.7×	83 0.8×	42	760
Junita Mohamad–Saleh Malaysia	19	111 0.4×	48 0.2×	84 0.5×	180 1.3×	390 3.9×	82	1.4k
A.P. de Weijer Netherlands	14	183 0.7×	50 0.2×	148 0.8×	454 3.4×	183 1.8×	15	1.1k
Pierantonio Facco Italy	21	479 1.8×	52 0.2×	242 1.4×	385 2.9×	35 0.3×	70	1.1k
Richard S. H. Mah United States	16	676 2.6×	37 0.2×	204 1.2×	155 1.2×	93 0.9×	31	921

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-authorship network of co-authors of X.Z. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of X.Z. Wang. A scholar is included among the top collaborators of X.Z. Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with X.Z. Wang. X.Z. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, X.Z., et al.. (2023). Research on fault diagnosis method of electro-hydraulic system based on improved Radial Basis Function neural network. 129–133. 1 indexed citations

Liu, Lande, et al.. (2011). Ultrasound spectroscopy and electrical resistance tomography for online characterisation of concentrated emulsions in crossflow membrane emulsifications. Powder Technology. 213(1-3). 123–131. 12 indexed citations

Wang, X.Z., Jorge Calderon De Anda, & Kevin J. Roberts. (2007). Real-Time Measurement of the Growth Rates of Individual Crystal Facets Using Imaging and Image Analysis. Process Safety and Environmental Protection. 85(7). 921–927. 83 indexed citations

Anda, Jorge Calderon De, et al.. (2005). Classifying organic crystals via in-process image analysis and the use of monitoring charts to follow polymorphic and morphological changes. Journal of Process Control. 15(7). 785–797. 98 indexed citations

Anda, Jorge Calderon De, X.Z. Wang, & Kevin J. Roberts. (2004). Multi-scale segmentation image analysis for the in-process monitoring of particle shape with batch crystallisers. Chemical Engineering Science. 60(4). 1053–1065. 142 indexed citations

Wang, X.Z., et al.. (2000). Computer-Aided Causal Knowledge Discovery from Text Documents of Process and Equipment Malfunctions. Process Safety and Environmental Protection. 78(1). 60–67. 2 indexed citations

García‐Flores, Rodolfo, et al.. (2000). Agent-based information flow for process industries' supply chain modelling. Computers & Chemical Engineering. 24(2-7). 1135–1141. 54 indexed citations

Wang, X.Z., et al.. (2000). Knowledge discovery from process operational data for assessment and monitoring of operator's performance. Computers & Chemical Engineering. 24(2-7). 409–414. 12 indexed citations

Huang, Yuanyuan & X.Z. Wang. (1999). Application of fuzzy causal networks to waste water treatment plants. Chemical Engineering Science. 54(13-14). 2731–2738. 25 indexed citations

10.

Wang, X.Z., et al.. (1999). An integrated data mining system and its application to process operational data analysis. Computers & Chemical Engineering. 23. S787–S790. 7 indexed citations

11.

Wang, X.Z., et al.. (1998). On-line operational support system for faults diagnosis in process plants. Computers & Chemical Engineering. 22. S973–S976. 8 indexed citations

12.

Wang, X.Z., et al.. (1997). Data Mining for Failure Diagnosis of Process Units by Learning Probabilistic Networks. Process Safety and Environmental Protection. 75(4). 210–216. 7 indexed citations

13.

Shang, Zhaowei, et al.. (1997). Operational Support System for On-Line Faults Monitoring in Chemical Manufacturing. IFAC Proceedings Volumes. 30(18). 919–924. 2 indexed citations

14.

Wang, X.Z., et al.. (1997). Fuzzy rule generation from data for process operational decision support. Computers & Chemical Engineering. 21. S661–S666. 15 indexed citations

15.

Wang, X.Z., Ming Lu, & C. McGreavy. (1997). Learning dynamic fault models based on a fuzzy set covering method. Computers & Chemical Engineering. 21(6). 621–630. 9 indexed citations

16.

Yang, Shuang‐Hua, X.Z. Wang, & C. McGreavy. (1996). A multivariable coordinated control system based on predictive control strategy for FCC reactor-regenerator system. Chemical Engineering Science. 51(11). 2977–2982. 18 indexed citations

17.

Wang, X.Z., et al.. (1996). The application of fuzzy qualitative simulation in safety and operability assessment of process plants. Computers & Chemical Engineering. 20. S671–S676. 11 indexed citations

18.

Yang, Shuang‐Hua, X.Z. Wang, & C. McGreavy. (1995). Machine Learning Fault Models of Industrial R-FCC Processes. IFAC Proceedings Volumes. 28(12). 161–166. 1 indexed citations

19.

McGreavy, C., et al.. (1995). A Concurrent Engineering Environment for Chemical Manufacturing. Concurrent Engineering. 3(4). 281–293. 15 indexed citations

20.

Wang, X.Z., et al.. (1995). Qualitative process modelling - a fuzzy signed directed graph method. Computers & Chemical Engineering. 19. 735–740. 17 indexed citations

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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