Justin Zhan

2.3k citations
73 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Data Mining Algorithms and Applications (18 papers)Rough Sets and Fuzzy Logic (12 papers)Privacy-Preserving Technologies in Data (12 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Justin Zhan

72 papers receiving 1.5k citations

Hit Papers

Sentiment analysis using product review data20152026201820222015100200300400

Peers

Justin Zhan
Comparison fields: 5 of 110
  • Artificial Intelligence 1.0k
  • Information Systems 794
  • Computational Theory and Mathematics 311
  • Signal Processing 260
  • Computer Networks and Communications 177
Replace Juan F. Huete with:
Juan F. Huete Spain
Omid Madani United States
Claudio Lucchese Italy
Derek Bridge Ireland
Siu Cheung Hui Singapore
Giovanni Romano Italy
Claudio Carpineto Italy
Andrew I. Schein United States
Shaul Markovitch Israel
Yao Wu China
Justin Zhan relative to Juan F. Huete Spain Juan F. Huete's profile →
Citations per field
00.5×3.0×
Juan F. Huete · 1×
Citations per year

Countries citing papers authored by Justin Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Justin Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Zhan. A scholar is included among the top collaborators of Justin Zhan 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 Justin Zhan. Justin Zhan 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
#WorkIndexed citations
1 2
2 11
3 2
4 9
5 1
6 26
7 23
8 15
9 22
10 50
11 22
12
Sentiment analysis using product review databreakdown →
451
13 16
14 4
15 4
16 5
17 3
18 4
19 4
20 4

About Justin Zhan

Justin Zhan is a scholar working on Computational Mathematics, Information Systems and Artificial Intelligence, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (18 papers), Rough Sets and Fuzzy Logic (12 papers) and Privacy-Preserving Technologies in Data (12 papers). The work is most often cited by research in Information Systems (794 citations), Artificial Intelligence (1.0k citations) and Signal Processing (260 citations). Justin Zhan has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Xing Fang, Jerry Chun‐Wei Lin, Philippe Fournier‐Viger, Wensheng Gan, Han‐Chieh Chao, Jimmy Ming‐Tai Wu, Tzung‐Pei Hong, Miroslav Vozňák, Ting Li and Lu Yang. Their work appears in journals such as PLoS ONE, IEEE Access and Journal of the Association for Information Systems.

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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