Kaveh Bastani

566 total citations
10 papers, 418 citations indexed

About

Kaveh Bastani is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Kaveh Bastani has authored 10 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 4 papers in Artificial Intelligence and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Kaveh Bastani's work include Fault Detection and Control Systems (4 papers), Industrial Vision Systems and Defect Detection (4 papers) and Advanced Statistical Process Monitoring (2 papers). Kaveh Bastani is often cited by papers focused on Fault Detection and Control Systems (4 papers), Industrial Vision Systems and Defect Detection (4 papers) and Advanced Statistical Process Monitoring (2 papers). Kaveh Bastani collaborates with scholars based in United States, Sweden and United Kingdom. Kaveh Bastani's co-authors include Zhenyu Kong, Prahalada Rao, Wenzhen Huang, Maury A. Nussbaum, Barbaros Yet, Hendry Raharjo, Svante Lifvergren, Bo Bergman, William Marsh and Sunwook Kim and has published in prestigious journals such as Expert Systems with Applications, Decision Support Systems and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Kaveh Bastani

10 papers receiving 407 citations

Peers

Kaveh Bastani

AI

IME

MIS

ACCOU

SPS

Chaochang Chiu Taiwan

Volker Nissen Germany

Mahmoud Dehghan Nayeri Iran

Ip‐Shing Fan United Kingdom

Huanhuan Zhang China

Peter Novák Czechia

Michal Greguš Slovakia

Christopher L. Huntley United States

Suzanne Pinson France

Pankaj Deep Kaur India

Chaochang Chiu Taiwan

Kaveh Bastani

179 ×1.2

AI

33 ×0.4

IME

40 ×0.7

MIS

19 ×0.3

ACCOU

95 ×2.2

SPS

Citations per year, relative to Kaveh Bastani Kaveh Bastani (= 1×) peers Chaochang Chiu

Countries citing papers authored by Kaveh Bastani

Since Specialization

Citations

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

Fields of papers citing papers by Kaveh Bastani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaveh Bastani

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

All Works

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10 of 10 papers shown

1.

Bastani, Kaveh, et al.. (2019). Latent Dirichlet allocation (LDA) for topic modeling of the CFPB consumer complaints. Expert Systems with Applications. 127. 256–271. 157 indexed citations

2.

Bastani, Kaveh, et al.. (2019). Wide and deep learning for peer-to-peer lending. Expert Systems with Applications. 134. 209–224. 69 indexed citations

3.

Bastani, Kaveh, et al.. (2017). Robust Sparse Representation-Based Classification Using Online Sensor Data for Monitoring Manual Material Handling Tasks. IEEE Transactions on Automation Science and Engineering. 15(4). 1573–1584. 13 indexed citations

4.

Bastani, Kaveh, et al.. (2017). The Utility of Hierarchical Dirichlet Process for Relationship Detection of Latent Constructs. Academy of Management Proceedings. 2017(1). 16300–16300. 6 indexed citations

5.

Bastani, Kaveh, et al.. (2017). Fault Diagnosis in Multistation Assembly Systems Using Spatially Correlated Bayesian Learning Algorithm. Journal of Manufacturing Science and Engineering. 140(3). 21 indexed citations

6.

Bastani, Kaveh, Sunwook Kim, Zhenyu Kong, Maury A. Nussbaum, & Wenzhen Huang. (2016). Online classification and sensor selection optimization with applications to human material handling tasks using wearable sensing technologies. IEEE Transactions on Human-Machine Systems. 46(4). 485–497. 22 indexed citations

7.

Bastani, Kaveh, et al.. (2015). Compressive sensing–based optimal sensor placement and fault diagnosis for multi-station assembly processes. IIE Transactions. 48(5). 462–474. 17 indexed citations

8.

Bastani, Kaveh, Prahalada Rao, & Zhenyu Kong. (2015). An online sparse estimation-based classification approach for real-time monitoring in advanced manufacturing processes from heterogeneous sensor data. IIE Transactions. 48(7). 579–598. 47 indexed citations

9.

Bastani, Kaveh, et al.. (2013). Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes. IEEE Transactions on Automation Science and Engineering. 10(1). 124–136. 25 indexed citations

10.

Yet, Barbaros, Kaveh Bastani, Hendry Raharjo, et al.. (2012). Decision support system for Warfarin therapy management using Bayesian networks. Decision Support Systems. 55(2). 488–498. 41 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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