Run Long

13.3k citations
266 papers · 11.5k indexed · 2 hit papers · h-index 59

Run Long

258 papers receiving 11.4k citations

Hit Papers

Rationalization of passivation strategies toward high-per...228202120262022202450100150200250

Peers

Run Long
Comparison fields: 5 of 101
  • Renewable Energy, Sustainability and the Environment 3.2k
  • Materials Chemistry 8.8k
  • Electrical and Electronic Engineering 7.5k
  • Polymers and Plastics 1.3k
  • Electronic, Optical and Magnetic Materials 955
Replace Shengye Jin with:
Shengye Jin China
Dongchen Qi Australia
Kaifeng Wu China
Xiaoming Wen Australia
Jin Zhao China
Narayan Pradhan India
Jao van de Lagemaat United States
Rebecca L. Milot United Kingdom
Angshuman Nag India
Jeunghee Park South Korea
Run Long relative to Shengye Jin China Shengye Jin's profile →
Citations per field
00.5×1.5×
Shengye Jin · 1×
Citations per year

Countries citing papers authored by Run Long

Since Specialization
Citations

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

Fields of papers citing papers by Run Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20258
3 20247
4 202413
5 202412
6 20244
7 202312
8 202318
9 20237
10 20238
11 202284
12 202131
13 2021111
14 202023
15 201966
16 201941
17 201870
18 201819
19 201826
20 2018103

About Run Long

Run Long is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 266 papers that have together received 11.5k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (135 papers), Quantum Dots Synthesis And Properties (62 papers), Chalcogenide Semiconductor Thin Films (59 papers), Advanced Photocatalysis Techniques (53 papers), Solid-state spectroscopy and crystallography (50 papers), 2D Materials and Applications (48 papers), Electronic and Structural Properties of Oxides (33 papers) and TiO2 Photocatalysis and Solar Cells (22 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (3.2k citations), Materials Chemistry (8.8k citations) and Electrical and Electronic Engineering (7.5k citations). Run Long has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Oleg V. Prezhdo, Wei‐Hai Fang, Niall J. English, Lu Qiao, Jinlu He, Zhaosheng Zhang, Linqiu Li, Ying Dai, Jin Liu and Ran Shi. Their work appears in journals such as The Journal of Physical Chemistry Letters, Journal of the American Chemical Society, Nano Letters, The Journal of Physical Chemistry C and The Journal of Chemical Physics.

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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