Liang Nie

38 total papers · 894 total citations
19 papers, 674 citations indexed

About

Liang Nie is a scholar working on Economics and Econometrics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Liang Nie has authored 19 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Liang Nie's work include Energy, Environment, Economic Growth (5 papers), Environmental Impact and Sustainability (3 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Liang Nie is often cited by papers focused on Energy, Environment, Economic Growth (5 papers), Environmental Impact and Sustainability (3 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Liang Nie collaborates with scholars based in China, France and Singapore. Liang Nie's co-authors include Weifeng Sun, Farhad Taghizadeh–Hesary, Shaopeng Cao, Huaping Sun, ZhongXiang Zhang, Shimin Wang, Chuan He, Guangchao Zhang, Hui Lin and Jiyun Qin and has published in prestigious journals such as Nature Photonics, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Liang Nie

17 papers receiving 654 citations

Hit Papers

Digital finance, green te... 2021 2026 2022 2024 2021 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Liang Nie 484 132 128 92 81 19 674
Shan-Ju Ho 481 1.0× 99 0.8× 52 0.4× 74 0.8× 68 0.8× 11 661
Qiong Xu 583 1.2× 187 1.4× 160 1.3× 156 1.7× 43 0.5× 20 769
Zulkiflee Abdul-Samad 316 0.7× 161 1.2× 80 0.6× 152 1.7× 22 0.3× 48 722
Haisen Wang 408 0.8× 75 0.6× 170 1.3× 186 2.0× 15 0.2× 32 633
Ayman Abu-Rumman 263 0.5× 110 0.8× 59 0.5× 138 1.5× 59 0.7× 34 679
Van Chien Nguyen 436 0.9× 141 1.1× 60 0.5× 102 1.1× 29 0.4× 32 677
Shubin Wang 391 0.8× 132 1.0× 78 0.6× 92 1.0× 41 0.5× 46 768
Jian Xue 231 0.5× 76 0.6× 79 0.6× 139 1.5× 17 0.2× 36 724
Dang Khoa Tran 437 0.9× 117 0.9× 107 0.8× 143 1.6× 100 1.2× 35 744
Joanna Nakonieczny 587 1.2× 191 1.4× 116 0.9× 98 1.1× 40 0.5× 20 793

Countries citing papers authored by Liang Nie

Since Specialization
Citations

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

Fields of papers citing papers by Liang Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Nie. A scholar is included among the top collaborators of Liang Nie 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 Liang Nie. Liang Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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