Chang-Shing Perng

1.4k citations
44 papers · 1.1k · h-index 15

Impact in

Papers in

    • Data Mining Algorithms and Applications 13
    • Service-Oriented Architecture and Web Services 12
    • Cloud Computing and Resource Management 10
    • Software System Performance and Reliability 12
    • Advanced Database Systems and Queries 10

Chang-Shing Perng

43 papers receiving 998 citations

Peers

Chang-Shing Perng
Comparison fields: 5 of 75
  • Signal Processing 318
  • Computer Networks and Communications 594
  • Information Systems 576
  • Software 78
  • Artificial Intelligence 419
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Citations per field
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Citations per year

Countries citing papers authored by Chang-Shing Perng

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Shing Perng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Shing Perng. 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 Chang-Shing Perng. The network helps show where Chang-Shing Perng may publish in the future.

Co-authors

The 25 scholars most cited alongside Chang-Shing Perng, 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 Chang-Shing Perng Line = papers co-authored together Chang-Shing Perng 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 2002231
2 2011179
3 200285
4 201381
5 201167
6 200849
7 201239
8 201338
9 200324
10 200423
11 201119
12 201217
13 200216
14 200216
15 200214
16 200914
17 200713
18 199913
19 201213
20 201413

About Chang-Shing Perng

Chang-Shing Perng is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Data Mining Algorithms and Applications (13 papers), Software System Performance and Reliability (12 papers), Service-Oriented Architecture and Web Services (12 papers), Advanced Database Systems and Queries (10 papers), Cloud Computing and Resource Management (10 papers), Time Series Analysis and Forecasting (8 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Signal Processing (318 citations), Computer Networks and Communications (594 citations), Information Systems (576 citations), Software (78 citations) and Artificial Intelligence (419 citations). Chang-Shing Perng has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Tao Li, D. Stott Parker, Yexi Jiang, Liang Tang, Houqiao Wang, Rong Chang, Joseph L. Hellerstein, Tao Li, Haixun Wang and Shaoping Ma. Their work appears in journals such as IBM Journal of Research and Development, IBM Systems Journal, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Network and Service Management and Journal of Intelligent 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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