Ching Lin

16 papers receiving 240 citations

Peers

Ching Lin
Comparison fields: 5 of 83
  • Computer Networks and Communications 80
  • Physiology 10
  • Information Systems 44
  • Sociology and Political Science 82
  • Health, Toxicology and Mutagenesis 25
Replace Panagiotis Papachristou with:
Panagiotis Papachristou Sweden
Chris Hughes United Kingdom
Rina Kumari India
Loïc Lannelongue United Kingdom
Giovanni Campagna United States
Daniell DiFrancesca United States
Pedro Guerreiro Portugal
Phillipp Schmidt Germany
Johannes Braun Germany
Christian Darabos United States
Ching Lin relative to Panagiotis Papachristou Sweden Panagiotis Papachristou's profile →
Citations per field
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Panagiotis Papachristou · 1×
Citations per year

Countries citing papers authored by Ching Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ching Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ching Lin, 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 Ching Lin Line = papers co-authored together Ching Lin links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200459
2 199829
3 200627
4
Proliferation characteristics of canine transmissible venereal tumor.
200226
5 201424
6 201316
7 200714
8 201513
9 201712
10 199710
11 20069
12 20098
13 20164
14 20053
15 20251
16 20051

About Ching Lin

Ching Lin is a scholar working on Sociology and Political Science, Computer Networks and Communications, Molecular Biology, Artificial Intelligence and Physiology, having authored 16 papers that have together received 256 indexed citations. Recurring topics across this work include Access Control and Trust (6 papers), Distributed systems and fault tolerance (4 papers), Mobile Agent-Based Network Management (4 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Click Chemistry and Applications (1 paper), Software System Performance and Reliability (1 paper), Cryptography and Data Security (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Computer Networks and Communications (80 citations), Physiology (10 citations), Information Systems (44 citations), Sociology and Political Science (82 citations) and Health, Toxicology and Mutagenesis (25 citations). Ching Lin has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Vijay Varadharajan, Yan Wang, Fang‐Jen S. Lee, Joel Moss, Walter A. Patton, Martha Vaughan, Jen Yü, Shu‐Li Wang, Richard T. Robertson and Janie Baratta. Their work appears in journals such as Journal of Enzyme Inhibition and Medicinal Chemistry, Journal of Biological Chemistry, Journal of Nanomedicine & Nanotechnology, International Journal of Mobile Communications and PLoS ONE.

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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