Liang Jin

2.6k citations
91 papers · 2.2k indexed · h-index 27
Topics
Hydraulic Fracturing and Reservoir Analysis (17 papers)Catalytic C–H Functionalization Methods (15 papers)Oil and Gas Production Techniques (13 papers)

In The Last Decade

Liang Jin

88 papers receiving 2.2k citations

Peers

Liang Jin
Comparison fields: 5 of 99
  • Organic Chemistry 1.5k
  • Molecular Biology 421
  • Spectroscopy 320
  • Inorganic Chemistry 231
  • Mechanical Engineering 196
Replace David R. Parrish with:
David R. Parrish United States
Valérie Molinier France
Andrzej B. Jarzębski Poland
Alan M. Hyde United States
Neil J. Wells United Kingdom
Xiaoping Rao China
Takeshi Furuya Japan
Emília Tojo Spain
Teng Liu China
Martin Demuth Germany
Liang Jin relative to David R. Parrish United States David R. Parrish's profile →
Citations per field
00.5×12.3×
David R. Parrish · 1×
Citations per year

Countries citing papers authored by Liang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Liang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Jin. A scholar is included among the top collaborators of Liang Jin 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 Liang Jin. Liang Jin 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 0
2 2
3 15
4 1
5 29
6 8
7 86
8 50
9 4
10 126
11 37
12 154
13 39
14 2
15 85
16 23
17 46
18 186
19
Study on the effect and technique for potassium application in the cotton
3
20
INFLUENCE OF CONDENSATE LAYER ON OIL DRAINAGE RATE OF STEAM-ASSISTED GRAVITY DRAINAGE IN HORIZONTAL WELL
0

About Liang Jin

Liang Jin is a scholar working on Ocean Engineering, Organic Chemistry and Mechanical Engineering, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (17 papers), Catalytic C–H Functionalization Methods (15 papers) and Oil and Gas Production Techniques (13 papers). The work is most often cited by research in Organic Chemistry (1.5k citations), Spectroscopy (320 citations) and Inorganic Chemistry (231 citations). Liang Jin has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Bing‐Feng Shi, Bei‐Bei Zhan, Ya Li, Jun Fan, Qi‐Jun Yao, Glenn Penny, Jingwen Xu, Xingliang Nie, He Meng and Jianbo Wang. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

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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