Fang‐Pang Lin

1.2k citations
30 papers · 863 indexed · h-index 13
Topics
Distributed and Parallel Computing Systems (8 papers)Flood Risk Assessment and Management (8 papers)Water Quality Monitoring Technologies (6 papers)

In The Last Decade

Fang‐Pang Lin

29 papers receiving 808 citations

Peers

Fang‐Pang Lin
Comparison fields: 5 of 92
  • Water Science and Technology 258
  • Computer Vision and Pattern Recognition 248
  • Global and Planetary Change 203
  • Ecology 128
  • Ocean Engineering 115
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Oscar Beijbom United States
Arnt-Børre Salberg Norway
Simone Marini Italy
Kurt Schwehr United States
Sai Ravela United States
Eric Lehmann Australia
Sérgio Bernardes United States
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Fang‐Pang Lin relative to Oscar Beijbom United States Oscar Beijbom's profile →
Citations per field
00.5×1.7×
Oscar Beijbom · 1×
Citations per year

Countries citing papers authored by Fang‐Pang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Pang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang‐Pang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Fang‐Pang Lin. A scholar is included among the top collaborators of Fang‐Pang Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang‐Pang Lin. Fang‐Pang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 20
3 53
4 10
5 115
6 3
7 1
8 67
9 104
10 2
11 3
12
Long-term underwater camera surveillance for monitoring and analysis of fish populations
39
13 46
14 1
15 5
16 57
17 11
18 3
19 2
20 10

About Fang‐Pang Lin

Fang‐Pang Lin is a scholar working on Information Systems and Management, Water Science and Technology and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 863 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (8 papers), Flood Risk Assessment and Management (8 papers) and Water Quality Monitoring Technologies (6 papers). The work is most often cited by research in Water Science and Technology (258 citations), Computer Vision and Pattern Recognition (248 citations) and Developmental Biology (24 citations). Fang‐Pang Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ching‐Han Hsu, Peter Arzberger, Paul C. Hanson, Timothy K. Kratz, Simone Palazzo, Concetto Spampinato, Chien-Chang Chen, Robert B. Fisher, Hans-Werner Braun and Chau-Chin Lin. Their work appears in journals such as Communications of the ACM, BioScience and IEEE Access.

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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