Nong Ye

1.3k citations
49 papers · 606 · h-index 13

Impact in

Papers in

Nong Ye

43 papers receiving 539 citations

Peers

Nong Ye
Comparison fields: 5 of 104
  • Statistical and Nonlinear Physics 111
  • Computer Networks and Communications 158
  • Industrial and Manufacturing Engineering 68
  • Information Systems 131
  • Artificial Intelligence 176
Replace Eugene Santos with:
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Pavlos S. Efraimidis Greece
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Nong Ye relative to Eugene Santos United States Eugene Santos's profile →
Citations per field
00.5×1.5×
Eugene Santos · 1×
Citations per year

Countries citing papers authored by Nong Ye

Since Specialization
Citations

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

Fields of papers citing papers by Nong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Nong Ye, 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 Nong Ye Line = papers co-authored together Nong Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Handbook of Data Mining
2003123
2 2003118
3 199430
4 200527
5 200926
6 200225
7 200525
8 199622
9 200219
10 201319
11 200215
12 200314
13 200513
14 199312
15 200311
16 199110
17 20079
18 20057
19 20167
20 20087

About Nong Ye

Nong Ye is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 49 papers that have together received 606 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Fault Detection and Control Systems (7 papers), Neural Networks and Applications (5 papers), Network Security and Intrusion Detection (5 papers), Manufacturing Process and Optimization (4 papers), Software Engineering Research (4 papers), Service-Oriented Architecture and Web Services (3 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (111 citations), Computer Networks and Communications (158 citations), Industrial and Manufacturing Engineering (68 citations), Information Systems (131 citations) and Artificial Intelligence (176 citations). Nong Ye has collaborated with scholars based in United States. Frequent co-authors include Ying‐Cheng Lai, Zonghua Liu, Gavriel Salvendy, Connie M. Borror, Teresa Wu, Dawei Zhang, Hemant K. Bhargava, Xueping Li, Toni Farley and Dazhi Huang. Their work appears in journals such as Quality and Reliability Engineering International, International Journal of Computer Integrated Manufacturing, Behaviour and Information Technology, International Journal of Production Research and International Journal of Human-Computer Interaction.

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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