Junye Wang

154 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 · 283 citations
2830+1+2Years since publication50100150200250

Peers

Junye Wang
Comparison fields: 5 of 157
  • Water Science and Technology 765
  • Automotive Engineering 610
  • Renewable Energy, Sustainability and the Environment 803
  • Environmental Engineering 616
  • Energy Engineering and Power Technology 132
Replace Pradeep Kumar Singh with:
Pradeep Kumar Singh India
Jan Mertens Belgium
Tiantian Yang China
Falin Chen Taiwan
Yuxuan Wang China
Jianzhong Liu China
Yan Yang China
G.Q. Chen China
Jijian Lian China
Bo Zhang China
Junye Wang relative to Pradeep Kumar Singh India Pradeep Kumar Singh's profile →
Citations per field
00.5×2.8×
Pradeep Kumar Singh · 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 161 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 →
2022283
2 2018262
3 2017259
4 2015232
5 2014219
6 2011177
7 2016159
8 2008155
9 2017139
10 2018101
11 201094
12 202393
13 201891
14 201990
15 201482
16 201877
17 201677
18 200576
19 201876
20 201873

About Junye Wang

Junye Wang is a scholar working on Computational Mechanics, Environmental Engineering, Electrical and Electronic Engineering, Water Science and Technology and Biomedical Engineering, having authored 161 papers that have together received 5.4k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (20 papers), Lattice Boltzmann Simulation Studies (18 papers), Soil and Water Nutrient Dynamics (16 papers), Soil Carbon and Nitrogen Dynamics (16 papers), Groundwater flow and contamination studies (14 papers), Fuel Cells and Related Materials (13 papers), Soil and Unsaturated Flow (10 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). The work is most often cited by research in Water Science and Technology (765 citations), Automotive Engineering (610 citations), Renewable Energy, Sustainability and the Environment (803 citations), Environmental Engineering (616 citations) and Energy Engineering and Power Technology (132 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, Michael Bretz and Shaojie Chen. Their work appears in journals such as The Science of The Total Environment, International Journal of Hydrogen Energy, Environmental Pollution, Journal of Hydrology and AIChE 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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