Dongya Liu

408 total citations
12 papers, 304 citations indexed

About

Dongya Liu is a scholar working on Global and Planetary Change, Atmospheric Science and Economics and Econometrics. According to data from OpenAlex, Dongya Liu has authored 12 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 3 papers in Atmospheric Science and 3 papers in Economics and Econometrics. Recurrent topics in Dongya Liu's work include Land Use and Ecosystem Services (5 papers), COVID-19 epidemiological studies (3 papers) and Remote Sensing and Land Use (3 papers). Dongya Liu is often cited by papers focused on Land Use and Ecosystem Services (5 papers), COVID-19 epidemiological studies (3 papers) and Remote Sensing and Land Use (3 papers). Dongya Liu collaborates with scholars based in China. Dongya Liu's co-authors include Xinqi Zheng, Peipei Wang, Hongbin Wang, Gang Ai, Chunxiao Zhang, Jiayang Li, Hongbin Wang, Yongqiang Lv, Kaijian Wang and Gongwen Wang and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Remote Sensing.

In The Last Decade

Dongya Liu

12 papers receiving 301 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dongya Liu China 7 127 67 58 57 38 12 304
Dexuan Sha United States 11 99 0.8× 89 1.3× 59 1.0× 36 0.6× 57 1.5× 24 368
Gang Ai China 8 56 0.4× 60 0.9× 49 0.8× 55 1.0× 22 0.6× 21 296
Md. Amjad Hossain Bangladesh 8 32 0.3× 25 0.4× 31 0.5× 10 0.2× 21 0.6× 28 223
Chintan Nanda India 6 55 0.4× 89 1.3× 21 0.4× 24 0.4× 64 1.7× 7 268
Mehran Javanmardi United States 8 62 0.5× 36 0.5× 144 2.5× 56 1.0× 18 0.5× 9 379
Cafer Mert Yeşilkanat Türkiye 12 115 0.9× 37 0.6× 131 2.3× 114 2.0× 21 0.6× 41 506
Daniel Q. Duffy United States 13 210 1.7× 25 0.4× 45 0.8× 3 0.1× 23 0.6× 33 538
Mohd Aftar Abu Bakar Malaysia 9 105 0.8× 12 0.2× 31 0.5× 16 0.3× 33 0.9× 50 290
Joris Guérin France 7 34 0.3× 29 0.4× 49 0.8× 23 0.4× 11 0.3× 17 260
Sangwon Chae South Korea 3 19 0.1× 60 0.9× 73 1.3× 57 1.0× 11 0.3× 7 322

Countries citing papers authored by Dongya Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dongya Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongya Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Dongya Liu. A scholar is included among the top collaborators of Dongya Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongya Liu. Dongya Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Liu, Liwei, et al.. (2024). HarmoNet: Partial DeepFake Detection Network based on Multi-scale HarmoF0 Feature Fusion. 2255–2259. 1 indexed citations
3.
Wang, Qihao, et al.. (2023). A Partitioned and Heterogeneous Land-Use Simulation Model by Integrating CA and Markov Model. Land. 12(2). 409–409. 11 indexed citations
4.
Xu, Feng, Xinqi Zheng, Minrui Zheng, et al.. (2023). Fine mapping and multidimensional analysis of carbon emission reduction in China. Frontiers in Ecology and Evolution. 11. 2 indexed citations
5.
Zheng, Xinqi, et al.. (2022). Spatio-temporal evolution characteristics analysis and optimization prediction of urban green infrastructure: a case study of Beijing, China. Scientific Reports. 12(1). 10702–10702. 12 indexed citations
6.
Zheng, Xinqi, et al.. (2022). Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures. International Journal of Environmental Research and Public Health. 19(15). 9323–9323. 3 indexed citations
7.
8.
Liu, Dongya, Xinqi Zheng, & Lei Zhang. (2021). Simulation of Spatiotemporal Relationship between COVID-19 Propagation and Regional Economic Development in China. Land. 10(6). 599–599. 6 indexed citations
9.
Wang, Peipei, et al.. (2020). Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran. Chaos Solitons & Fractals. 140. 110214–110214. 112 indexed citations
10.
Liu, Dongya, Xinqi Zheng, & Hongbin Wang. (2020). Land-use Simulation and Decision-Support system (LandSDS): Seamlessly integrating system dynamics, agent-based model, and cellular automata. Ecological Modelling. 417. 108924–108924. 80 indexed citations
11.
Wang, Kaijian, et al.. (2020). A Multi-Model Ensemble Approach for Gold Mineral Prospectivity Mapping: A Case Study on the Beishan Region, Western China. Minerals. 10(12). 1126–1126. 13 indexed citations
12.
Liu, Dongya, Xinqi Zheng, Hongbin Wang, et al.. (2018). Interoperable scenario simulation of land-use policy for Beijing–Tianjin–Hebei region, China. Land Use Policy. 75. 155–165. 36 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dexuan Sha Breakdown of academic impact, for papers by Gang Ai Breakdown of academic impact, for papers by Md. Amjad Hossain Breakdown of academic impact, for papers by Chintan Nanda Breakdown of academic impact, for papers by Mehran Javanmardi Breakdown of academic impact, for papers by Cafer Mert Yeşilkanat Breakdown of academic impact, for papers by Daniel Q. Duffy Breakdown of academic impact, for papers by Mohd Aftar Abu Bakar Breakdown of academic impact, for papers by Joris Guérin Breakdown of academic impact, for papers by Sangwon Chae
Rankless by CCL
2026