Min Jin

26 papers receiving 367 citations

Peers

Min Jin
Comparison fields: 5 of 63
  • Environmental Engineering 191
  • Ocean Engineering 96
  • Media Technology 49
  • Computer Vision and Pattern Recognition 102
  • Environmental Chemistry 46
Replace Jiaxiu Dong with:
Jiaxiu Dong China
Di Chen China
Bin Kong China
Anqi Wang China
Fahd Saeed Alakbari Malaysia
Jónatas Valença Portugal
Wenxiu Wu China
Øystein Arild Norway
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Citations per field
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Citations per year

Countries citing papers authored by Min Jin

Since Specialization
Citations

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

Fields of papers citing papers by Min Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201651
2 201346
3 202041
4 201839
5 201237
6 201228
7 201719
8 201518
9 201913
10 201213
11 201712
12 201010
13 20239
14 20118
15 20125
16
Optimising CO2 storage in geological formations; a case study ofshore Scotland - CO2 MultiStore project
20155
17 20114
18 20214
19 20143
20 20143

About Min Jin

Min Jin is a scholar working on Environmental Engineering, Mechanical Engineering, Ocean Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 27 papers that have together received 376 indexed citations. Recurring topics across this work include CO2 Sequestration and Geologic Interactions (15 papers), Hydraulic Fracturing and Reservoir Analysis (10 papers), Reservoir Engineering and Simulation Methods (4 papers), Enhanced Oil Recovery Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Neural Network Applications (3 papers), Handwritten Text Recognition Techniques (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Environmental Engineering (191 citations), Ocean Engineering (96 citations), Media Technology (49 citations), Computer Vision and Pattern Recognition (102 citations) and Environmental Chemistry (46 citations). Min Jin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Eric Mackay, Huaxiang Lu, Gillian Elizabeth Pickup, Zhiyuan Li, Leonardo José do Nascimento Guimarães, John Williams, Maxine Akhurst, Xuemei Chen, Adrian Christopher Todd and Qi Wu. Their work appears in journals such as International journal of greenhouse gas control, Applied Sciences, Information Sciences, Petroleum Geoscience and International Journal on Document Analysis and Recognition (IJDAR).

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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