Cuicui Luo

993 citations
44 papers · 675 indexed · h-index 15

Impact in

Papers in

Cuicui Luo

37 papers receiving 652 citations

Peers

Cuicui Luo
Comparison fields: 5 of 96
  • Accounting 152
  • Management Science and Operations Research 141
  • Management Information Systems 72
  • General Energy 7
  • Finance 67
Replace Rongda Chen with:
Rongda Chen China
Zongrun Wang China
Jamal Ouenniche United Kingdom
Marijana Zekić–Sušac Croatia
Esteban Alfaro Spain
Jacques Lawarrée United States
Taeyong Yang South Korea
Neşe Yalçın Türkiye
Erick Meira Brazil
Cuicui Luo relative to Rongda Chen China Rongda Chen's profile →
Citations per field
00.5×2.9×
Rongda Chen · 1×
Citations per year

Countries citing papers authored by Cuicui Luo

Since Specialization
Citations

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

Fields of papers citing papers by Cuicui Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cuicui Luo, 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 Cuicui Luo Line = papers co-authored together Cuicui Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016132
2 201676
3 201447
4 201446
5 202043
6 201831
7 201929
8 201923
9 201422
10 202221
11 201519
12 202216
13 201514
14 202314
15 202314
16 202214
17 202314
18 200013
19 202512
20 201812

About Cuicui Luo

Cuicui Luo is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Accounting and Finance, having authored 44 papers that have together received 675 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (5 papers), Imbalanced Data Classification Techniques (5 papers), Financial Distress and Bankruptcy Prediction (5 papers), Market Dynamics and Volatility (5 papers), Efficiency Analysis Using DEA (4 papers), Face and Expression Recognition (3 papers), Financial Risk and Volatility Modeling (3 papers) and Climate Change Policy and Economics (3 papers). The work is most often cited by research in Accounting (152 citations), Management Science and Operations Research (141 citations), Management Information Systems (72 citations), General Energy (7 citations) and Finance (67 citations). Cuicui Luo has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Desheng Wu, Dexiang Wu, David L. Olson, Can Wei, John R. Birge, Luis Seco, Alexandre Dolgui, Yuchen Pan, Desheng Wu and James H. Lambert. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Information Sciences, Industrial Management & Data Systems, IEEE Access and Annals of Operations Research.

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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