Chang-Shing Perng

1.4k citations
40 papers · 878 indexed · h-index 13

Impact in

Papers in

    • Data Management and Algorithms 15
    • Time Series Analysis and Forecasting 5
    • Data Mining Algorithms and Applications 12
    • Service-Oriented Architecture and Web Services 11
    • Cloud Computing and Resource Management 10

Chang-Shing Perng

39 papers receiving 810 citations

Peers

Chang-Shing Perng
Comparison fields: 5 of 74
  • Computer Networks and Communications 501
  • Signal Processing 230
  • Information Systems 478
  • Software 65
  • Artificial Intelligence 343
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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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002187
2 2011155
3 201374
4 200273
5 201160
6 201336
7 201233
8 200833
9 200322
10 201117
11 200417
12 200214
13 201213
14 200912
15 201412
16 200711
17 201211
18 200910
19 20149
20 20019

About Chang-Shing Perng

Chang-Shing Perng is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Artificial Intelligence and Management Science and Operations Research, having authored 40 papers that have together received 878 indexed citations. Recurring topics across this work include Data Management and Algorithms (15 papers), Data Mining Algorithms and Applications (12 papers), Software System Performance and Reliability (12 papers), Service-Oriented Architecture and Web Services (11 papers), Cloud Computing and Resource Management (10 papers), Advanced Database Systems and Queries (9 papers), Time Series Analysis and Forecasting (5 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Networks and Communications (501 citations), Signal Processing (230 citations), Information Systems (478 citations), Software (65 citations) and Artificial Intelligence (343 citations). Chang-Shing Perng has collaborated with scholars based in United States, Slovakia and India. Frequent co-authors include Tao Li, Yexi Jiang, Liang Tang, Rong Chang, D. Stott Parker, Houqiao Wang, Tao Li, Joseph L. Hellerstein, Shaoping Ma and Haixun Wang. Their work appears in journals such as IBM Journal of Research and Development, IEEE Transactions on Network and Service Management, ACM Transactions on Intelligent Systems and Technology, Knowledge and Information Systems and IBM Systems Journal.

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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