Guangli Nie

486 total citations
22 papers, 293 citations indexed

About

Guangli Nie is a scholar working on Information Systems, Marketing and Artificial Intelligence. According to data from OpenAlex, Guangli Nie has authored 22 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 6 papers in Marketing and 5 papers in Artificial Intelligence. Recurrent topics in Guangli Nie's work include Data Mining Algorithms and Applications (8 papers), Customer churn and segmentation (5 papers) and Rough Sets and Fuzzy Logic (3 papers). Guangli Nie is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Customer churn and segmentation (5 papers) and Rough Sets and Fuzzy Logic (3 papers). Guangli Nie collaborates with scholars based in China, United States and Thailand. Guangli Nie's co-authors include Yong Shi, Lingling Zhang, Yingjie Tian, Sumaporn Kasemsumran, Rong Liu, Yuejin Zhang, Lingling Zhang, Gang Kou, Wenhan Jiang and Xingsen Li and has published in prestigious journals such as Expert Systems with Applications, Biochimica et Biophysica Acta (BBA) - General Subjects and Computers and Electronics in Agriculture.

In The Last Decade

Guangli Nie

20 papers receiving 269 citations

Peers

Guangli Nie
Comparison fields: 5 of 73
  • Marketing 112
  • Artificial Intelligence 87
  • Information Systems 74
  • Organizational Behavior and Human Resource Management 47
  • Accounting 47
Replace Amira M. Idrees with:
Amira M. Idrees Egypt
George Swales United States
Özden Gür Ali Türkiye
Budi Prasetiyo Indonesia
Jonathan Burez Belgium
A. Martin India
Seppe K. L. M. vanden Broucke Belgium
Yen‐Hsien Lee Taiwan
Marcel Holsheimer Netherlands
Amira M. Idrees Egypt View profile →
Citations per field, relative to Guangli Nie
Guangli Nie · 1×
Citations per year, relative to Guangli Nie
Guangli Nie · 1×

Countries citing papers authored by Guangli Nie

Since Specialization
Citations

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

Fields of papers citing papers by Guangli Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangli Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Guangli Nie. A scholar is included among the top collaborators of Guangli Nie 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 Guangli Nie. Guangli Nie 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
# Work Indexed citations
1 0
2 2
3 1
4 2
5 45
6 3
7 141
8 3
9 11
10 8
11 2
12 3
13 12
14 6
15 1
16 4
17 2
18 7
19 8
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026