Junye Wang

142 papers receiving 5.3k citations

Junye Wang's Hit Papers

Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects 2022 · 313 citations
3130+1+2Years since publication100200300

Peers

Junye Wang
Comparison fields: 5 of 110
  • Water Science and Technology 603
  • Energy Engineering and Power Technology 96
  • Soil Science 450
  • Environmental Engineering 348
  • Electrical and Electronic Engineering 1.5k
Replace Yuxuan Wang with:
Yuxuan Wang China
L.A.C. Tarelho Portugal
Yan Jun Yang China
Pradeep Kumar Singh India
Bryan M. Jenkins United States
Jan Mertens Belgium
Eric Larson United States
Nidal H. Abu‐Hamdeh Saudi Arabia
Yun-min CHEN China
Akbar A. Javadi United Kingdom
Junye Wang relative to Yuxuan Wang China Yuxuan Wang's profile →
Citations per field
00.5×2×3×4×4.6×
Yuxuan Wang · 1×
Citations per year

Countries citing papers authored by Junye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Hit paper breakdown →
2022313
2 2018272
3 2017265
4 2015236
5 2014228
6 2011182
7 2016165
8 2008154
9 2017140
10 2023107
11 2018102
12 201096
13 201893
14 201990
15 201483
16 201879
17 201877
18 201676
19 201874
20 200573

About Junye Wang

Junye Wang is a scholar working on Soil Science, Computational Mechanics, Water Science and Technology, Pollution and Environmental Engineering, having authored 150 papers that have together received 5.4k indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (25 papers), Hydrology and Watershed Management Studies (15 papers), Fuel Cells and Related Materials (14 papers), Lattice Boltzmann Simulation Studies (13 papers), Wastewater Treatment and Nitrogen Removal (9 papers), Heat and Mass Transfer in Porous Media (8 papers), Anaerobic Digestion and Biogas Production (7 papers) and Advanced Battery Materials and Technologies (6 papers). The work is most often cited by research in Water Science and Technology (603 citations), Energy Engineering and Power Technology (96 citations), Soil Science (450 citations), Environmental Engineering (348 citations) and Electrical and Electronic Engineering (1.5k citations). Junye Wang has collaborated with scholars based in Canada, China and United Kingdom. Frequent co-authors include Mojtaba Aghajani Delavar, Narayan Kumar Shrestha, Hualin Wang, Yi Fan, Xinzhong Du, Dhananjay Yadav, M. Ali Akber Dewan, Xiayin Yao, Shaojie Chen and Xiaoxiong Xu. Their work appears in journals such as The Science of The Total Environment, International Journal of Hydrogen Energy, Environmental Pollution, Journal of Hydrology and Journal of Power Sources.

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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