Long Nie

427 total citations
18 papers, 346 citations indexed

About

Long Nie is a scholar working on Genetics, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Long Nie has authored 18 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Electrical and Electronic Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Long Nie's work include Advanced machining processes and optimization (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Advanced Machining and Optimization Techniques (3 papers). Long Nie is often cited by papers focused on Advanced machining processes and optimization (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Advanced Machining and Optimization Techniques (3 papers). Long Nie collaborates with scholars based in China, United Kingdom and United States. Long Nie's co-authors include Ya‐Ping Zhang, Henry Harpending, Yong‐Gang Yao, Yun‐Xin Fu, Yongjiu Chen, Jin Wang, Stephen W. Attwood, Xuezheng Zhang, Ying Yu and Qingqing Li and has published in prestigious journals such as Applied Catalysis B: Environmental, Small and American Journal of Physical Anthropology.

In The Last Decade

Long Nie

17 papers receiving 332 citations

Peers

Long Nie
Comparison fields: 5 of 84
  • Genetics 164
  • Molecular Biology 67
  • Parasitology 57
  • Archeology 37
  • Renewable Energy, Sustainability and the Environment 35
Replace Sandra Appelt with:
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Masaki Mizutani Japan
Toshio Shibata Japan
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Joon Sang Lee United States
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Sandra Appelt Germany View profile →
Citations per field, relative to Long Nie
Long Nie · 1×
Citations per year, relative to Long Nie
Long Nie · 1×

Countries citing papers authored by Long Nie

Since Specialization
Citations

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

Fields of papers citing papers by Long Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Nie

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 14
5 19
6 1
7 2
8 19
9 7
10 7
11 8
12 13
13
[Genetic diversity and population structure of BMY and brahman cattle revealed by six microsatellite loci].
4
14 14
15 55
16 143
17 21
18 17

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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