Feiya Lv

412 total citations
15 papers, 321 citations indexed

About

Feiya Lv is a scholar working on Control and Systems Engineering, Mechanical Engineering and Analytical Chemistry. According to data from OpenAlex, Feiya Lv has authored 15 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 12 papers in Mechanical Engineering and 4 papers in Analytical Chemistry. Recurrent topics in Feiya Lv's work include Fault Detection and Control Systems (14 papers), Mineral Processing and Grinding (12 papers) and Spectroscopy and Chemometric Analyses (4 papers). Feiya Lv is often cited by papers focused on Fault Detection and Control Systems (14 papers), Mineral Processing and Grinding (12 papers) and Spectroscopy and Chemometric Analyses (4 papers). Feiya Lv collaborates with scholars based in China, Netherlands and Norway. Feiya Lv's co-authors include Chenglin Wen, Meiqin Liu, Zhejing Bao, Jinsong Zhao, Huawei Ye, Xiaotian Bi, Shujian Yu, Zhihai Xu, José C. Prı́ncipe and Xiaolin Wang and has published in prestigious journals such as Journal of the Franklin Institute, Computers & Chemical Engineering and Process Safety and Environmental Protection.

In The Last Decade

Feiya Lv

14 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feiya Lv China	8	270	156	62	36	30	15	321
Siwei Lou China	12	261 1.0×	216 1.4×	74 1.2×	51 1.4×	25 0.8×	47	405
Jingxin Zhang China	11	281 1.0×	137 0.9×	80 1.3×	61 1.7×	18 0.6×	23	344
Rajeevan Arunthavanathan United States	7	327 1.2×	142 0.9×	60 1.0×	38 1.1×	21 0.7×	9	391
Yuan Sheng-fa China	5	281 1.0×	123 0.8×	77 1.2×	30 0.8×	15 0.5×	6	367
Shifu Yan China	10	349 1.3×	221 1.4×	82 1.3×	83 2.3×	42 1.4×	21	457
Zhihuan Song China	9	392 1.5×	207 1.3×	81 1.3×	118 3.3×	28 0.9×	16	477
Dong-Sik Gu South Korea	6	304 1.1×	209 1.3×	32 0.5×	16 0.4×	17 0.6×	14	388
Ting Xue China	11	271 1.0×	53 0.3×	58 0.9×	13 0.4×	14 0.5×	25	336
Lamiaa M. Elshenawy Egypt	10	240 0.9×	121 0.8×	63 1.0×	48 1.3×	9 0.3×	15	304
Ruomu Tan United Kingdom	10	336 1.2×	116 0.7×	66 1.1×	45 1.3×	24 0.8×	27	408

Countries citing papers authored by Feiya Lv

Since Specialization

Citations

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

Fields of papers citing papers by Feiya Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiya Lv

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

All Works

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15 of 15 papers shown

Yang, Borui, et al.. (2026). A process pretrained transformer model for cross-unit fault prognosis in chemical process. Process Safety and Environmental Protection. 208. 108203–108203.

Lv, Feiya, Borui Yang, Shujian Yu, et al.. (2025). A unified model integrating Granger causality-based causal discovery and fault diagnosis in chemical processes. Computers & Chemical Engineering. 196. 109028–109028. 5 indexed citations

Lv, Feiya, Xiaotian Bi, Zhihai Xu, & Jinsong Zhao. (2024). Causality-embedded reconstruction network for high-resolution fault identification in chemical process. Process Safety and Environmental Protection. 186. 1011–1033. 10 indexed citations

Lv, Feiya, Shujian Yu, Huawei Ye, Jinsong Zhao, & Chenglin Wen. (2024). Incipient fault detection and isolation with Cauchy–Schwarz divergence: A probabilistic approach. Journal of the Franklin Institute. 361(15). 107114–107114. 2 indexed citations

Lv, Feiya, et al.. (2024). Unsupervised transfer learning for fault diagnosis across similar chemical processes. Process Safety and Environmental Protection. 190. 1011–1027. 14 indexed citations

Lv, Feiya, Shujian Yu, Chenglin Wen, & José C. Prı́ncipe. (2021). Interpretable fault detection using projections of mutual information matrix. Journal of the Franklin Institute. 358(7). 4028–4057. 7 indexed citations

Lv, Feiya, Shujian Yu, Chenglin Wen, & José C. Prı́ncipe. (2020). Mutual Information Matrix for Interpretable Fault Detection.. arXiv (Cornell University). 1 indexed citations

Lv, Feiya, Chenglin Wen, & Meiqin Liu. (2019). Dynamic reconstruction based representation learning for multivariable process monitoring. Journal of Process Control. 81. 112–125. 4 indexed citations

Lv, Feiya, Chenglin Wen, & Meiqin Liu. (2018). Representation learning based adaptive multimode process monitoring. Chemometrics and Intelligent Laboratory Systems. 181. 95–104. 17 indexed citations

10.

Lv, Feiya, et al.. (2018). Stacked Sparse Auto Encoder Network Based Multimode Process Monitoring. 227–232. 3 indexed citations

11.

Lv, Feiya, Chenglin Wen, Meiqin Liu, & Zhejing Bao. (2018). Higher‐order correlation–based multivariate statistical process monitoring. Journal of Chemometrics. 32(8). 10 indexed citations

12.

Lv, Feiya, Chenglin Wen, Meiqin Liu, & Zhejing Bao. (2017). Weighted time series fault diagnosis based on a stacked sparse autoencoder. Journal of Chemometrics. 31(9). 58 indexed citations

13.

Wen, Chenglin, et al.. (2016). A Review of Data Driven-based Incipient Fault Diagnosis. ACTA AUTOMATICA SINICA. 42(9). 1299. 45 indexed citations

14.

Lv, Feiya, et al.. (2016). Fault diagnosis based on deep learning. 6851–6856. 144 indexed citations

15.

Yang, Xiaohui, Feiya Lv, Lijun Cai, & Deng‐Feng Li. (2014). Adaptive learning region importance for region‐based image retrieval. IET Computer Vision. 9(3). 368–377. 1 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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