Guanjun Liu

273 papers receiving 4.1k citations

Guanjun Liu's Hit Papers

Recent advances on graphene: Synthesis, properties and applications 2022 · 196 citations
1960+2+5Years since publication50100150200

Peers

Guanjun Liu
Comparison fields: 5 of 147
  • Artificial Intelligence 1.5k
  • Management Information Systems 373
  • Accounting 399
  • Information Systems 734
  • Computational Theory and Mathematics 479
Replace Abdullah Abusorrah with:
Abdullah Abusorrah Saudi Arabia
Bernardete Ribeiro Portugal
Zijiang Yang China
Bhekisipho Twala South Africa
T. Warren Liao United States
Victoria López Spain
Tarek Hegazy Canada
Isaac Triguero Spain
Yan‐Fu Li China
Guanjun Liu relative to Abdullah Abusorrah Saudi Arabia Abdullah Abusorrah's profile →
Citations per field
00.5×8.3×
Abdullah Abusorrah · 1×
Citations per year

Countries citing papers authored by Guanjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guanjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guanjun Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guanjun Liu Line = papers co-authored together Guanjun Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 294 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Random forest for credit card fraud detection
Hit paper breakdown →
2018239
2
Recent advances on graphene: Synthesis, properties and applications
Hit paper breakdown →
2022196
3 2021124
4 2018123
5 2020122
6 202292
7 202087
8 202377
9 202074
10 201574
11 201872
12 202267
13 201766
14 201965
15 202263
16 202262
17 201059
18 201354
19 201553
20 202346

About Guanjun Liu

Guanjun Liu is a scholar working on Artificial Intelligence, Control and Systems Engineering, Information Systems, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 294 papers that have together received 4.2k indexed citations. Recurring topics across this work include Petri Nets in System Modeling (48 papers), Engineering and Test Systems (34 papers), Business Process Modeling and Analysis (33 papers), Imbalanced Data Classification Techniques (32 papers), Service-Oriented Architecture and Web Services (22 papers), Fault Detection and Control Systems (21 papers), Formal Methods in Verification (17 papers) and Reliability and Maintenance Optimization (15 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Management Information Systems (373 citations), Accounting (399 citations), Information Systems (734 citations) and Computational Theory and Mathematics (479 citations). Guanjun Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Changjun Jiang, MengChu Zhou, Zhenchuan Li, Jing Qiu, Chungang Yan, Lutao Zheng, Yu Xie, Kehong Lv, Wenjing Luan and Shuo Wang. Their work appears in journals such as IEEE Transactions on Computational Social Systems, Chinese Journal of Aeronautics, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Access and IEEE Transactions on Components Packaging and Manufacturing Technology.

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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