Zhaomin Lv

411 total citations
20 papers, 360 citations indexed

About

Zhaomin Lv is a scholar working on Mechanical Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Zhaomin Lv has authored 20 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 9 papers in Control and Systems Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Zhaomin Lv's work include Fault Detection and Control Systems (9 papers), Mineral Processing and Grinding (8 papers) and Thermochemical Biomass Conversion Processes (7 papers). Zhaomin Lv is often cited by papers focused on Fault Detection and Control Systems (9 papers), Mineral Processing and Grinding (8 papers) and Thermochemical Biomass Conversion Processes (7 papers). Zhaomin Lv collaborates with scholars based in China. Zhaomin Lv's co-authors include Xuefeng Yan, Qingchao Jiang, Houzhang Tan, Meijin Guo, Xuebin Wang, Houzhang Tan, Renhui Ruan, Bei Wang, Chen Miao and Zia ur Rahman and has published in prestigious journals such as Fuel, Journal of Environmental Management and Industrial & Engineering Chemistry Research.

In The Last Decade

Zhaomin Lv

20 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaomin Lv China 13 196 163 96 84 58 20 360
Jaka Smrekar Slovenia 9 123 0.6× 153 0.9× 58 0.6× 14 0.2× 73 1.3× 27 453
Yuguang Niu China 12 134 0.7× 135 0.8× 94 1.0× 5 0.1× 97 1.7× 48 478
XU Zhi-gao China 9 78 0.4× 94 0.6× 68 0.7× 18 0.2× 78 1.3× 41 320
Shinroku Matsuzaki Japan 16 72 0.4× 795 4.9× 272 2.8× 18 0.2× 250 4.3× 42 947
J.B. Kitto United States 6 51 0.3× 276 1.7× 149 1.6× 6 0.1× 129 2.2× 11 507
Eric Cayeux Norway 21 40 0.2× 488 3.0× 32 0.3× 6 0.1× 28 0.5× 105 1.1k
Maciej Chaczykowski Poland 10 95 0.5× 159 1.0× 54 0.6× 11 0.1× 73 1.3× 34 559
William Luna Salgado Brazil 12 105 0.5× 124 0.8× 192 2.0× 66 0.8× 16 0.3× 40 421
Rolv Rommetveit Norway 20 20 0.1× 653 4.0× 70 0.7× 11 0.1× 9 0.2× 98 1.2k
Hare Krishna Mohanta India 12 273 1.4× 169 1.0× 37 0.4× 54 0.6× 32 0.6× 29 453

Countries citing papers authored by Zhaomin Lv

Since Specialization
Citations

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

Fields of papers citing papers by Zhaomin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaomin Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaomin Lv. A scholar is included among the top collaborators of Zhaomin Lv 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 Zhaomin Lv. Zhaomin Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lv, Zhaomin, et al.. (2022). Interactions of HCN with NO in pressurized oxy‐combustion. Asia-Pacific Journal of Chemical Engineering. 18(1). 2 indexed citations
2.
Lv, Zhaomin, et al.. (2022). NO emission and burnout characteristics in co-combustion of coal and sewage sludge following high-temperature preheating. Fuel. 331. 125887–125887. 19 indexed citations
3.
Wang, Xuebin, Zia ur Rahman, Zhaomin Lv, et al.. (2021). Experimental Study and Design of Biomass Co-Firing in a Full-Scale Coal-Fired Furnace with Storage Pulverizing System. Agronomy. 11(4). 810–810. 31 indexed citations
4.
Lv, Zhaomin, et al.. (2021). Coke preheating combustion study on NOx and SO2 emission. Journal of the Energy Institute. 97. 131–137. 7 indexed citations
5.
6.
Zhou, Shangkun, Meng Wang, Houzhang Tan, et al.. (2020). Effect of thermal expansion additives on alleviating the ash deposition of high-sodium coal. Journal of Environmental Management. 269. 110799–110799. 14 indexed citations
7.
Liu, Xing, et al.. (2020). Mechanism study of nitric oxide reduction by light gases from typical Chinese coals. Journal of the Energy Institute. 93(4). 1697–1704. 8 indexed citations
8.
Lv, Zhaomin, et al.. (2020). Experimental investigation on NO emission of semi-coke under high temperature preheating combustion technology. Fuel. 283. 119293–119293. 28 indexed citations
9.
Miao, Chen & Zhaomin Lv. (2020). Nonlinear chemical processes fault detection based on adaptive kernel principal component analysis. Systems Science & Control Engineering. 8(1). 350–358. 11 indexed citations
10.
Chen, Xingjie, et al.. (2020). Track Fastener Defect Detection Based on Local Convolutional Neural Networks. 50. 425–432. 1 indexed citations
11.
Lv, Zhaomin, et al.. (2019). Shock tube evaluation on C2H4 ignition delay differences among N2, Ar, He, CO2 diluent gases. Journal of the Energy Institute. 93(4). 1271–1277. 17 indexed citations
12.
Lv, Zhaomin, et al.. (2019). A typical super-heater tube leakage and high temperature corrosion mechanism investigation in a 260 t/h circulated fluidized boiler. Engineering Failure Analysis. 109. 104255–104255. 11 indexed citations
13.
Lv, Zhaomin, Xuefeng Yan, & Qingchao Jiang. (2017). Batch process monitoring based on self-adaptive subspace support vector data description. Chemometrics and Intelligent Laboratory Systems. 170. 25–31. 25 indexed citations
14.
Lv, Zhaomin, Xuefeng Yan, & Qingchao Jiang. (2016). Batch process monitoring based on multiple-phase online sorting principal component analysis. ISA Transactions. 64. 342–352. 24 indexed citations
15.
Lv, Zhaomin & Xuefeng Yan. (2016). Hierarchical Support Vector Data Description for Batch Process Monitoring. Industrial & Engineering Chemistry Research. 55(34). 9205–9214. 12 indexed citations
16.
Wang, Bei, Xuefeng Yan, Qingchao Jiang, & Zhaomin Lv. (2014). Generalized Dice's coefficient‐based multi‐block principal component analysis with Bayesian inference for plant‐wide process monitoring. Journal of Chemometrics. 29(3). 165–178. 28 indexed citations
17.
Lv, Zhaomin, Xuefeng Yan, & Qingchao Jiang. (2014). Batch process monitoring based on just-in-time learning and multiple-subspace principal component analysis. Chemometrics and Intelligent Laboratory Systems. 137. 128–139. 37 indexed citations
18.
Lv, Zhaomin, et al.. (2014). Batch Process Monitoring Based on Multisubspace Multiway Principal Component Analysis and Time-Series Bayesian Inference. Industrial & Engineering Chemistry Research. 53(15). 6457–6466. 35 indexed citations
19.
Jiang, Qingchao, Xuefeng Yan, Zhaomin Lv, & Meijin Guo. (2013). Independent component analysis-based non-Gaussian process monitoring with preselecting optimal components and support vector data description. International Journal of Production Research. 52(11). 3273–3286. 26 indexed citations
20.
Jiang, Qingchao, Xuefeng Yan, Zhaomin Lv, & Meijin Guo. (2013). Fault detection in nonlinear chemical processes based on kernel entropy component analysis and angular structure. Korean Journal of Chemical Engineering. 30(6). 1181–1186. 13 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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