Kunran Yang

735 citations
26 papers · 588 · h-index 12

Impact in

Papers in

    • Catalytic Processes in Materials Science 11
    • Machine Learning in Materials Science 3
    • Catalysis and Oxidation Reactions 7
    • Ammonia Synthesis and Nitrogen Reduction 5
    • Catalysts for Methane Reforming 5

Kunran Yang

25 papers receiving 582 citations

Peers

Kunran Yang
Comparison fields: 5 of 34
  • Catalysis 250
  • Renewable Energy, Sustainability and the Environment 296
  • Materials Chemistry 379
  • Inorganic Chemistry 74
  • Process Chemistry and Technology 8
Replace Yuzhen Fang with:
Yuzhen Fang China
Mimoun Aouine France
Anne‐Marie Alexander United Kingdom
Dongjae Shin South Korea
Chia‐Yu Fang United States
Gui‐lin Wu China
Irene M.J. Vilella Argentina
Yuji Mahara Japan
Kunran Yang relative to Yuzhen Fang China Yuzhen Fang's profile →
Citations per field
00.5×1.5×2.4×
Yuzhen Fang · 1×
Citations per year

Countries citing papers authored by Kunran Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kunran Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019115
2 202173
3 201869
4 202163
5 201754
6 202240
7 202138
8 202326
9 201926
10 202314
11 202313
12 202011
13 20248
14 20236
15 20235
16 20244
17 20244
18 20224
19 20164
20 20253

About Kunran Yang

Kunran Yang is a scholar working on Materials Chemistry, Catalysis, Renewable Energy, Sustainability and the Environment, Biomedical Engineering and Electrical and Electronic Engineering, having authored 26 papers that have together received 588 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (11 papers), Catalysis and Oxidation Reactions (7 papers), Advanced Photocatalysis Techniques (6 papers), Ammonia Synthesis and Nitrogen Reduction (5 papers), Catalysts for Methane Reforming (5 papers), Chemical Looping and Thermochemical Processes (4 papers), Machine Learning in Materials Science (3 papers) and Catalysis and Hydrodesulfurization Studies (3 papers). The work is most often cited by research in Catalysis (250 citations), Renewable Energy, Sustainability and the Environment (296 citations), Materials Chemistry (379 citations), Inorganic Chemistry (74 citations) and Process Chemistry and Technology (8 citations). Kunran Yang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Bo Yang, Jian Liu, Guoliang Wang, Qingguang Pan, Zhiqing Zou, Dongdong Li, Hui Yang, Jing Sun, Wei‐Bo Hu and Ke Wen. Their work appears in journals such as ACS Catalysis, Journal of Catalysis, Physical Chemistry Chemical Physics, Energy & Environmental Science and Chemical Engineering Journal.

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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