Faming Lu

498 total citations
28 papers, 348 citations indexed

About

Faming Lu is a scholar working on Management Information Systems, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Faming Lu has authored 28 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Information Systems, 13 papers in Information Systems and 9 papers in Computational Theory and Mathematics. Recurrent topics in Faming Lu's work include Business Process Modeling and Analysis (15 papers), Petri Nets in System Modeling (8 papers) and Service-Oriented Architecture and Web Services (7 papers). Faming Lu is often cited by papers focused on Business Process Modeling and Analysis (15 papers), Petri Nets in System Modeling (8 papers) and Service-Oriented Architecture and Web Services (7 papers). Faming Lu collaborates with scholars based in China, United States and Netherlands. Faming Lu's co-authors include Qingtian Zeng, Hua Duan, Cong Liu, MengChu Zhou, Jiujun Cheng, Fuxin Zhang, Libao Zhang, Mengfan Tang, Zhaoyang Cai and An Liu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Faming Lu

25 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faming Lu China 9 208 175 74 59 48 28 348
Chiara Di Francescomarino Italy 11 244 1.2× 207 1.2× 23 0.3× 180 3.1× 54 1.1× 57 402
M. H. Schonenberg Netherlands 6 313 1.5× 200 1.1× 20 0.3× 111 1.9× 74 1.5× 8 370
Alexander Wise United States 12 157 0.8× 282 1.6× 40 0.5× 192 3.3× 161 3.4× 24 519
Wen Jun Tan Singapore 9 104 0.5× 54 0.3× 22 0.3× 50 0.8× 106 2.2× 44 360
Isabel Ramos Spain 12 88 0.4× 315 1.8× 32 0.4× 103 1.7× 71 1.5× 39 443
Cristina Cabanillas Austria 8 155 0.7× 111 0.6× 8 0.1× 54 0.9× 36 0.8× 21 245
Irene Teinemaa Estonia 8 207 1.0× 104 0.6× 9 0.1× 103 1.7× 50 1.0× 11 315
Chihab Hanachi France 9 56 0.3× 83 0.5× 12 0.2× 92 1.6× 76 1.6× 34 305
Han van der Aa Germany 11 214 1.0× 146 0.8× 6 0.1× 142 2.4× 38 0.8× 48 328
Lee W. Wagenhals United States 11 91 0.4× 90 0.5× 37 0.5× 113 1.9× 57 1.2× 22 326

Countries citing papers authored by Faming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Faming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faming Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Faming Lu. A scholar is included among the top collaborators of Faming Lu 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 Faming Lu. Faming Lu 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.
Su, Xuan, et al.. (2025). EdgeIM: An Efficient Edge-Based Process Model Discovery Technique. Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa). 1–7.
2.
Zhang, Haijuan, et al.. (2024). Deciphering the carrier dynamics enhancement in WO3-containing composites: an ultrafast transient reflectance investigation. Journal of Materials Chemistry C. 12(34). 13665–13671.
3.
Lu, Faming, K. Jia, Xue Zhang, & Lin Sun. (2024). CRViT: Vision transformer advanced by causality and inductive bias for image recognition. Applied Intelligence. 55(1). 1 indexed citations
4.
Lu, Faming, et al.. (2024). Petri Net Unfolding-Based Detection and Replay of Program Deadlocks. IEEE Access. 12. 53713–53738. 1 indexed citations
5.
Zeng, Qingtian, et al.. (2023). Explainable Business Process Remaining Time Prediction Using Reachability Graph. Chinese Journal of Electronics. 32(3). 625–639. 4 indexed citations
6.
Lu, Faming, et al.. (2022). Research on the Construction of Malware Variant Datasets and Their Detection Method. Applied Sciences. 12(15). 7546–7546. 8 indexed citations
7.
Zeng, Qingtian, et al.. (2022). Transition-driven time prediction for business processes with cycles. Expert Systems with Applications. 209. 118238–118238. 2 indexed citations
8.
Zeng, Qingtian, et al.. (2022). Business process remaining time prediction using explainable reachability graph from gated RNNs. Applied Intelligence. 53(11). 13178–13191. 4 indexed citations
9.
Lu, Faming, et al.. (2022). A synergy-effect-incorporated fuzzy Petri net modeling paradigm with application in risk assessment. Expert Systems with Applications. 199. 117037–117037. 17 indexed citations
10.
Zeng, Qingtian, et al.. (2021). Remaining time prediction for business processes with concurrency based on log representation. China Communications. 18(11). 76–91. 4 indexed citations
11.
Lu, Faming, et al.. (2020). Student Performance Prediction Based on Behavior Process Similarity. Chinese Journal of Electronics. 29(6). 1110–1118. 2 indexed citations
12.
Zeng, Qingtian, et al.. (2019). A Semantic User Distance Metric Using GPS Trajectory Data. IEEE Access. 7. 30185–30196. 3 indexed citations
13.
Lu, Faming, et al.. (2017). Complex Reachability Trees and Their Application to Deadlock Detection for Unbounded Petri Nets. IEEE Transactions on Systems Man and Cybernetics Systems. 49(6). 1164–1174. 24 indexed citations
14.
Liu, Cong, Hua Duan, Qingtian Zeng, et al.. (2016). Towards Comprehensive Support for Privacy Preservation Cross-Organization Business Process Mining. IEEE Transactions on Services Computing. 12(4). 639–653. 78 indexed citations
15.
Zhang, Libao, et al.. (2016). Application of K-Means Clustering Algorithm for Classification of NBA Guards. International Journal of Science and Engineering Applications. 5(1). 1–6. 11 indexed citations
16.
Lu, Faming, et al.. (2014). Hierarchy Modeling and Formal Verification of Emergency Treatment Processes. IEEE Transactions on Systems Man and Cybernetics Systems. 44(2). 220–234. 17 indexed citations
17.
Zeng, Qingtian, et al.. (2014). Modeling and Verification for Cross-Department Collaborative Business Processes Using Extended Petri Nets. IEEE Transactions on Systems Man and Cybernetics Systems. 45(2). 349–362. 58 indexed citations
18.
Zeng, Qingtian, et al.. (2012). Domain Ontology Design and Reasoning for Resource Matchmaking in Emergency Response Systems. International Journal of Knowledge and Systems Science. 3(1). 31–47. 2 indexed citations
19.
Chen, Tingting, et al.. (2012). A Visual Management and Monitoring Tool for Cross-organization Emergency Response Workflows. Information Technology Journal. 11(10). 1341–1356. 4 indexed citations
20.
Zeng, Qingtian, et al.. (2011). Cross-organization Task Coordination Patterns of Urban Emergency Response Systems. Information Technology Journal. 10(2). 367–375. 12 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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