Xiaotian Bi

480 total citations
8 papers, 352 citations indexed

About

Xiaotian Bi is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Xiaotian Bi has authored 8 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Mechanical Engineering and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Xiaotian Bi's work include Fault Detection and Control Systems (5 papers), Risk and Safety Analysis (3 papers) and Advanced Data Processing Techniques (2 papers). Xiaotian Bi is often cited by papers focused on Fault Detection and Control Systems (5 papers), Risk and Safety Analysis (3 papers) and Advanced Data Processing Techniques (2 papers). Xiaotian Bi collaborates with scholars based in China, Singapore and United States. Xiaotian Bi's co-authors include Jinsong Zhao, Deyang Wu, Xiao‐Lin Wang, Tian-Yin Liu, Dan Ren, Shaodong Zheng, Muzi Xu, Sui Zhang, Xiaonan Wang and Jiali Li and has published in prestigious journals such as Journal of Materials Chemistry A, Industrial & Engineering Chemistry Research and Computers & Chemical Engineering.

In The Last Decade

Xiaotian Bi

8 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaotian Bi China	7	198	164	97	72	62	8	352
Charles W. McFall United States	10	461 2.3×	60 0.4×	122 1.3×	75 1.0×	19 0.3×	12	544
Antônio Carlos Brandão de Araújo Brazil	11	209 1.1×	66 0.4×	37 0.4×	53 0.7×	14 0.2×	30	390
Jørgen Knudsen Denmark	4	234 1.2×	134 0.8×	48 0.5×	39 0.5×	14 0.2×	9	357
Seokyoung Hong South Korea	7	121 0.6×	106 0.6×	7 0.1×	30 0.4×	17 0.3×	15	334
Andrew Lee United States	11	78 0.4×	165 1.0×	15 0.2×	129 1.8×	12 0.2×	22	362
Yeong Koo Yeo South Korea	12	145 0.7×	154 0.9×	24 0.2×	75 1.0×	5 0.1×	26	374
Ben H.L. Betlem Netherlands	9	101 0.5×	43 0.3×	116 1.2×	78 1.1×	7 0.1×	13	243
Gow‐Bin Wang Taiwan	11	153 0.8×	55 0.3×	64 0.7×	104 1.4×	12 0.2×	14	333
Yiqing Luo China	15	404 2.0×	130 0.8×	26 0.3×	125 1.7×	2 0.0×	58	563
Oscar A.Z. Sotomayor Brazil	8	225 1.1×	52 0.3×	26 0.3×	17 0.2×	9 0.1×	22	286

Countries citing papers authored by Xiaotian Bi

Since Specialization

Citations

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

Fields of papers citing papers by Xiaotian Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotian Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotian Bi. A scholar is included among the top collaborators of Xiaotian Bi 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 Xiaotian Bi. Xiaotian Bi 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:

8 of 8 papers shown

1.

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

2.

Bi, Xiaotian, et al.. (2023). Large-scale chemical process causal discovery from big data with transformer-based deep learning. Process Safety and Environmental Protection. 173. 163–177. 41 indexed citations

3.

Wang, Min, et al.. (2023). Design and Implementation of Campus Digital Twin System Based on Game Engine. 1343–1349. 2 indexed citations

4.

Wu, Deyang, Xiaotian Bi, & Jinsong Zhao. (2023). ProTopormer: Toward Understandable Fault Diagnosis Combining Process Topology for Chemical Processes. Industrial & Engineering Chemistry Research. 62(21). 8350–8361. 29 indexed citations

5.

Bi, Xiaotian, et al.. (2022). One step forward for smart chemical process fault detection and diagnosis. Computers & Chemical Engineering. 164. 107884–107884. 65 indexed citations

6.

Xu, Muzi, Zhiyao Luo, Xiaotian Bi, et al.. (2022). Machine learning for membrane design and discovery. Green Energy & Environment. 9(1). 54–70. 74 indexed citations

7.

Bi, Xiaotian & Jinsong Zhao. (2021). A novel orthogonal self-attentive variational autoencoder method for interpretable chemical process fault detection and identification. Process Safety and Environmental Protection. 156. 581–597. 73 indexed citations

8.

Ren, Dan, Xiaotian Bi, Tian-Yin Liu, & Xiao‐Lin Wang. (2018). Oligo-ethylene-glycol based thin-film composite nanofiltration membranes for effective separation of mono-/di-valent anions. Journal of Materials Chemistry A. 7(4). 1849–1860. 58 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.

Explore authors with similar magnitude of impact