Lin Ling

405 citations
29 papers · 260 · h-index 10

Impact in

Papers in

Lin Ling

27 papers receiving 247 citations

Peers

Lin Ling
Comparison fields: 5 of 75
  • Industrial and Manufacturing Engineering 39
  • Medical Laboratory Technology 5
  • Computer Science Applications 18
  • Accounting 35
  • Computer Networks and Communications 38
Replace S. Osaki with:
S. Osaki Japan
Tony Field United Kingdom
Luiz Alberto Vieira Dias Brazil
Michael Jong Kim Canada
Yeh Lam Hong Kong
Georgios Makridis Greece
Rafael Mantilla Montalvo United Kingdom
Jana-Rebecca Rehse Germany
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Citations per field
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Citations per year

Countries citing papers authored by Lin Ling

Since Specialization
Citations

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

Fields of papers citing papers by Lin Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lin Ling, 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 Lin Ling Line = papers co-authored together Lin Ling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202378
2 201436
3 200716
4 202013
5 201913
6 201711
7 202110
8 202110
9 20119
10 20219
11 20077
12 20246
13 20196
14 20206
15 20175
16 20194
17 20184
18 20114
19 20213
20
PHYSICAL CONSTITUTION AND GENETIC RELATIONSHIP OF SHANGHAI SUBURBIA
20022

About Lin Ling

Lin Ling is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Computational Theory and Mathematics and Sociology and Political Science, having authored 29 papers that have together received 260 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (3 papers), Peer-to-Peer Network Technologies (3 papers), Caching and Content Delivery (3 papers), Online Learning and Analytics (3 papers), Educational Games and Gamification (2 papers), Multimedia Communication and Technology (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Teaching and Learning Programming (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (39 citations), Medical Laboratory Technology (5 citations), Computer Science Applications (18 citations), Accounting (35 citations) and Computer Networks and Communications (38 citations). Lin Ling has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Conghu Liu, Mingzhou Liu, Xi Zhang, Xiaoqiao Wang, Chee Wei Tan, Antonio Liotta, Siu‐Wai Ho, Raymond W. Yeung, Gang Lü and Qiang Li. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Safety Science, Review of Quantitative Finance and Accounting, Information Sciences and Waste Management & Research The Journal for a Sustainable Circular Economy.

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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