Lungan Zhang

1.1k citations
10 papers · 892 indexed · 1 hit paper · h-index 9
Topics
Bayesian Modeling and Causal Inference (7 papers)Rough Sets and Fuzzy Logic (6 papers)Text and Document Classification Technologies (6 papers)
Partner nations
ChinaAustralia

In The Last Decade

Lungan Zhang

10 papers receiving 851 citations

Hit Papers

Deep feature weighting for naive Bayes and its applicatio...2016202620192022201650100150200250

Peers

Lungan Zhang
Comparison fields: 5 of 100
  • Artificial Intelligence 680
  • Information Systems 234
  • Computer Vision and Pattern Recognition 133
  • Computational Theory and Mathematics 113
  • Computer Science Applications 52
Replace Francisco Charte with:
Francisco Charte Spain
Alan Tickle Australia
Yuanjian Zhang China
Suhel Hammoud United Kingdom
S. Balamurugan India
Quinlan United States
Abdulmohsen Algarni Saudi Arabia
Sikha Bagui United States
Anne M. P. Canuto Brazil
Lungan Zhang relative to Francisco Charte Spain Francisco Charte's profile →
Citations per field
00.5×2.8×
Francisco Charte · 1×
Citations per year

Countries citing papers authored by Lungan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Lungan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lungan Zhang

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 209
2 1
3 15
4 153
5 23
6 10
7
Deep feature weighting for naive Bayes and its application to text classificationbreakdown →
271
8 86
9 89
10 35

About Lungan Zhang

Lungan Zhang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems, having authored 10 papers that have together received 892 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), Rough Sets and Fuzzy Logic (6 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (680 citations), Information Systems (234 citations) and Computer Science Applications (52 citations). Lungan Zhang has collaborated with scholars based in China and Australia. Frequent co-authors include Liangxiao Jiang, Chaoqun Li, Shasha Wang, Jia Wu, Dianhong Wang and Liangjun Yu. Their work appears in journals such as Pattern Recognition, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

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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