Changlong Yin

901 total citations
39 papers, 765 citations indexed

About

Changlong Yin is a scholar working on Mechanical Engineering, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Changlong Yin has authored 39 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanical Engineering, 26 papers in Materials Chemistry and 21 papers in Organic Chemistry. Recurrent topics in Changlong Yin's work include Catalysis and Hydrodesulfurization Studies (33 papers), Catalytic Processes in Materials Science (23 papers) and Nanomaterials for catalytic reactions (21 papers). Changlong Yin is often cited by papers focused on Catalysis and Hydrodesulfurization Studies (33 papers), Catalytic Processes in Materials Science (23 papers) and Nanomaterials for catalytic reactions (21 papers). Changlong Yin collaborates with scholars based in China, Canada and Indonesia. Changlong Yin's co-authors include Chenguang Liu, Xuehui Li, Yong‐Ming Chai, Yanpeng Li, Bin Liu, Daohong Xia, Ruiyu Zhao, Yunqi Liu, He Li and Yilan Wu and has published in prestigious journals such as Advanced Functional Materials, Applied Catalysis B: Environmental and Chemical Engineering Journal.

In The Last Decade

Changlong Yin

38 papers receiving 750 citations

Peers

Changlong Yin
Comparison fields: 5 of 42
  • Mechanical Engineering 631
  • Materials Chemistry 524
  • Organic Chemistry 362
  • Biomedical Engineering 174
  • Catalysis 102
Replace Jinlin Mei with:
Jinlin Mei China
Fuxia Sun China
M. Vrinat France
M. Cattenot France
Daniela Gulková Czechia
Sonia A. Giraldo Colombia
T.A. Zepeda Mexico
Kapil Soni India
José Luis García-Gutiérrez Mexico
Yuejiao Qin China
Jinlin Mei China View profile →
Citations per field, relative to Changlong Yin
Changlong Yin · 1×
Citations per year, relative to Changlong Yin
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Countries citing papers authored by Changlong Yin

Since Specialization
Citations

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

Fields of papers citing papers by Changlong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changlong Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Changlong Yin. A scholar is included among the top collaborators of Changlong Yin 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 Changlong Yin. Changlong Yin 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
# Work Indexed citations
1 1
2 0
3 12
4 4
5 2
6 5
7 5
8 15
9 89
10 22
11 22
12 31
13 14
14 38
15 16
16 49
17 7
18 4
19 21
20 5

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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