Mei‐Ling Chiang

642 citations
30 papers · 450 · h-index 9

Impact in

Papers in

    • Caching and Content Delivery 11
    • Distributed and Parallel Computing Systems 9
    • Advanced Data Storage Technologies 9
    • Peer-to-Peer Network Technologies 6
    • IoT and Edge/Fog Computing 4
    • Parallel Computing and Optimization Techniques 10
    • Real-Time Systems Scheduling 7

Mei‐Ling Chiang

30 papers receiving 433 citations

Peers

Mei‐Ling Chiang
Comparison fields: 5 of 30
  • Hardware and Architecture 189
  • Computer Networks and Communications 428
  • Information Systems 73
  • Computational Theory and Mathematics 46
  • Artificial Intelligence 54
Replace Shuichi Oikawa with:
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Mei‐Ling Chiang relative to Shuichi Oikawa Japan Shuichi Oikawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mei‐Ling Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Ling Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Ling Chiang. 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 Mei‐Ling Chiang. The network helps show where Mei‐Ling Chiang may publish in the future.

Co-authors

The 10 scholars most cited alongside Mei‐Ling Chiang, 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 Mei‐Ling Chiang Line = papers co-authored together Mei‐Ling Chiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999138
2 1999130
3 200248
4 202025
5 200612
6 20099
7
LCC simulators speed development of synchronous hardware
19868
8 20168
9 20088
10 20067
11 20235
12 20195
13 20085
14 20075
15 20115
16 20174
17 20184
18 20203
19 20063
20
Design and Implementation of A Memory-Based Object Server for Hand-Held Computers.
19972

About Mei‐Ling Chiang

Mei‐Ling Chiang is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 30 papers that have together received 450 indexed citations. Recurring topics across this work include Caching and Content Delivery (11 papers), Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (9 papers), Real-Time Systems Scheduling (7 papers), Cloud Computing and Resource Management (7 papers), Peer-to-Peer Network Technologies (6 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Hardware and Architecture (189 citations), Computer Networks and Communications (428 citations), Information Systems (73 citations), Computational Theory and Mathematics (46 citations) and Artificial Intelligence (54 citations). Mei‐Ling Chiang has collaborated with scholars based in Taiwan. Frequent co-authors include Ruei‐Chuan Chang, Chi‐Ho Lee, Chun‐Hung Wu, Yu-Chen Lin, Yufen Chen, Chia-Hsuan Tsai, Hsin-Hao Chen, Chi‐Wei Lin, Bowen Yu and Cheng-Han Li. Their work appears in journals such as Journal of Systems and Software, Software Practice and Experience, Applied Sciences, Real-Time Systems and International Journal of Embedded 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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