Bin Ye

2.2k citations
68 papers · 1.5k indexed · h-index 20

Impact in

Papers in

Bin Ye

67 papers receiving 1.5k citations

Peers

Bin Ye
Comparison fields: 5 of 126
  • Environmental Engineering 194
  • Pollution 151
  • Process Chemistry and Technology 37
  • Plant Science 409
  • Water Science and Technology 148
Replace Ruben Sakrabani with:
Ruben Sakrabani United Kingdom
Thomas J. Brumm United States
Marty D. Matlock United States
Alon Shepon Israel
Lucrezia Lamastra Italy
Xue Wang China
Ladislav Kolář Czechia
Yongqiang Liu China
Brian T. Turner United States
Liang Wu China
Bin Ye relative to Ruben Sakrabani United Kingdom Ruben Sakrabani's profile →
Citations per field
00.5×1.5×2.1×
Ruben Sakrabani · 1×
Citations per year

Countries citing papers authored by Bin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20245
3 20241
4 20241
5 20233
6 20233
7 202310
8 20231
9 202335
10 202320
11 20234
12 202392
13 20236
14 202319
15 20228
16 202142
17 202166
18 20186
19 201640
20
[Research on contribution decomposition by industry to China's carbon intensity reduction and carbon emission growth].
20143

About Bin Ye

Bin Ye is a scholar working on Environmental Engineering, Ecology, Pollution, Nature and Landscape Conservation and Ecological Modeling, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Aquatic Invertebrate Ecology and Behavior (10 papers), Environmental Impact and Sustainability (7 papers), Energy, Environment, Economic Growth (6 papers), Fish Ecology and Management Studies (6 papers), Genetic diversity and population structure (6 papers), Mollusks and Parasites Studies (5 papers), Air Quality and Health Impacts (4 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). The work is most often cited by research in Environmental Engineering (194 citations), Pollution (151 citations), Process Chemistry and Technology (37 citations), Plant Science (409 citations) and Water Science and Technology (148 citations). Bin Ye has collaborated with scholars based in China, Japan and Vietnam. Frequent co-authors include Kiwamu Minamisawa, Tadashi Sato, K Nishioka, A.S. El-Beltagy, Hisayuki Mitsui, T Isawa, Toru Hamada, Dan Yan, Ying Kong and Asami Saito. Their work appears in journals such as Environmental Geochemistry and Health, Molecular Phylogenetics and Evolution, Tetrahedron, Applied Energy and Applied and Environmental Microbiology.

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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