Baifan Zhou

480 total citations
19 papers, 192 citations indexed

About

Baifan Zhou is a scholar working on Artificial Intelligence, Management Science and Operations Research and Mechanical Engineering. According to data from OpenAlex, Baifan Zhou has authored 19 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Mechanical Engineering. Recurrent topics in Baifan Zhou's work include Semantic Web and Ontologies (6 papers), Data Quality and Management (6 papers) and Manufacturing Process and Optimization (5 papers). Baifan Zhou is often cited by papers focused on Semantic Web and Ontologies (6 papers), Data Quality and Management (6 papers) and Manufacturing Process and Optimization (5 papers). Baifan Zhou collaborates with scholars based in Germany, Norway and China. Baifan Zhou's co-authors include Evgeny Kharlamov, Ralf Mikut, Markus Reischl, Ahmet Soylu, Thomas Kiedrowski, Moncef Chioua, Andrés Fabián Lasagni, Gong Cheng, Arild Waaler and Nina F. Thornhill and has published in prestigious journals such as IEEE Access, Industrial & Engineering Chemistry Research and Optics and Lasers in Engineering.

In The Last Decade

Baifan Zhou

18 papers receiving 181 citations

Peers

Baifan Zhou
Jacek M. Czerniak Poland
Rajiv Verma India
Qiwei Lu China
P.K. Mozumder United States
Manuela Pănoiu Romania
Jaime Puig-Pey Spain
Laurent Capocchi France
Erzsébet Németh Hungary
Yufang Wang China
Sebastian Werner Germany
Jacek M. Czerniak Poland
Baifan Zhou
Citations per year, relative to Baifan Zhou Baifan Zhou (= 1×) peers Jacek M. Czerniak

Countries citing papers authored by Baifan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Baifan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baifan Zhou

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

All Works

19 of 19 papers shown
1.
2.
Zhou, Baifan, Hui Yang, Zhipeng Tan, et al.. (2024). Knowledge graph embedding closed under composition. Data Mining and Knowledge Discovery. 38(6). 3531–3562. 2 indexed citations
3.
Psarommatis, Foivos, Baifan Zhou, & Evgeny Kharlamov. (2024). Implementation of Zero Defect Manufacturing using quality prediction: a spot welding case study from Bosch. Procedia Computer Science. 232. 1299–1308. 2 indexed citations
4.
Zhou, Baifan, et al.. (2023). Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry. IEEE Access. 11. 37360–37377. 3 indexed citations
5.
Zhou, Baifan, et al.. (2022). Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. Journal of Intelligent Manufacturing. 33(4). 1139–1163. 56 indexed citations
6.
Zhou, Baifan, et al.. (2022). Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 5102–5103. 4 indexed citations
7.
Zhou, Baifan, et al.. (2022). ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 5074–5078. 8 indexed citations
8.
Zhou, Baifan, et al.. (2022). Towards A Visualisation Ontology for Reusable Visual Analytics. 99–103. 3 indexed citations
9.
Zhou, Baifan, et al.. (2022). ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 5064–5068. 5 indexed citations
10.
11.
Zhou, Baifan, Ahmet Soylu, Gong Cheng, et al.. (2021). SemML: Facilitating development of ML models for condition monitoring with semantics. Journal of Web Semantics. 71. 100664–100664. 18 indexed citations
12.
Zhou, Baifan, et al.. (2020). SemML: Reusable ML Models for Condition Monitoring in Discrete Manufacturing.. CEUR Workshop Proceedings. 2721. 213–218. 2 indexed citations
13.
Zhou, Baifan, et al.. (2020). Predicting Quality of Automated Welding with Machine Learning and Semantics. 2933–2940. 17 indexed citations
14.
Zhou, Baifan, et al.. (2020). SemFE. 3489–3492. 10 indexed citations
15.
Zhou, Baifan, et al.. (2019). Improving Root Cause Analysis by Detecting and Removing Transient Changes in Oscillatory Time Series with Application to a 1,3-Butadiene Process. Industrial & Engineering Chemistry Research. 58(26). 11234–11250. 9 indexed citations
16.
Zhou, Baifan, et al.. (2019). Machine learning aided phase retrieval algorithm for beam splitting with an LCoS-SLM. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 56–56. 4 indexed citations
17.
Zhou, Baifan, et al.. (2019). High accuracy beam splitting using spatial light modulator combined with machine learning algorithms. Optics and Lasers in Engineering. 121. 227–235. 19 indexed citations
18.
Zhou, Baifan, et al.. (2018). Comparison of Machine Learning Approaches for Time-series-based Quality Monitoring of Resistance Spot Welding (RSW). Repository KITopen (Karlsruhe Institute of Technology). 12 indexed citations
19.
Zhou, Baifan, et al.. (2017). Practical methods for detecting and removing transient changes in univariate oscillatory time series. IFAC-PapersOnLine. 50(1). 7987–7992. 10 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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