Kai Lin

64 papers receiving 612 citations

Peers

Kai Lin
Comparison fields: 5 of 119
  • Ecological Modeling 56
  • Information Systems and Management 60
  • Geochemistry and Petrology 37
  • Metals and Alloys 14
  • Ecology 106
Replace Davina Jackson with:
Davina Jackson United Kingdom
Kyle Bradbury United States
Takuya Iwanaga Australia
Marco Minghini Italy
Guiming Zhang China
Noha Gaber Egypt
Patrick Schratz Germany
Jochen Schiewe Germany
Kostas Kalabokidis Greece
Kai Lin relative to Davina Jackson United Kingdom Davina Jackson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010101
2 201174
3 200036
4 202035
5 201330
6 200425
7 202424
8 201323
9 201222
10 201722
11 200621
12 200620
13 200415
14 202414
15 202511
16
Fabrication and the Characterisation of the Bioactivity and Degradability of Macroporous Calcium Silicate Bioceramics in vitro
200511
17 200311
18 200710
19 20198
20 20188

About Kai Lin

Kai Lin is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Information Systems and Management and Mechanical Engineering, having authored 69 papers that have together received 645 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (14 papers), Semantic Web and Ontologies (8 papers), Service-Oriented Architecture and Web Services (7 papers), Drilling and Well Engineering (5 papers), Geological Modeling and Analysis (5 papers), Distributed and Parallel Computing Systems (5 papers), Logic, programming, and type systems (5 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Ecological Modeling (56 citations), Information Systems and Management (60 citations), Geochemistry and Petrology (37 citations), Metals and Alloys (14 citations) and Ecology (106 citations). Kai Lin has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Chaitan Baru, Joseph A. Goguen, Eric Fegraus, Choonhan Youn, Jorge Ahumada, İlkay Altıntaş, Shawn Bowers, Alok Sinha, Bertram Ludaescher and Abdelmounaam Rezgui. Their work appears in journals such as International Journal of Digital Earth, BioScience, Advanced Engineering Materials, Engineering Applications of Computational Fluid Mechanics and Ecological Informatics.

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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