Long Feng

666 total citations
37 papers, 418 citations indexed

About

Long Feng is a scholar working on Genetics, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Long Feng has authored 37 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Statistics and Probability and 4 papers in Computational Mechanics. Recurrent topics in Long Feng's work include Genetic Associations and Epidemiology (6 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Statistical Methods and Inference (4 papers). Long Feng is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Statistical Methods and Inference (4 papers). Long Feng collaborates with scholars based in China, United States and Hong Kong. Long Feng's co-authors include Chazhong Ge, Changliang Zou, Zhaojun Wang, Guosheng Yin, Xiaohong Chen, Bin Cai, Bo Yan, Xing Chen, Xing Chen and Guoen Xia and has published in prestigious journals such as Journal of the American Statistical Association, The Journal of Comparative Neurology and Biometrika.

In The Last Decade

Long Feng

31 papers receiving 411 citations

Peers

Long Feng
Comparison fields: 5 of 115
  • Economics and Econometrics 90
  • Statistics and Probability 74
  • Molecular Biology 67
  • Genetics 46
  • Marketing 44
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Citations per field, relative to Long Feng
Long Feng · 1×
Citations per year, relative to Long Feng
Long Feng · 1×

Countries citing papers authored by Long Feng

Since Specialization
Citations

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

Fields of papers citing papers by Long Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Feng

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 2
6 1
7 7
8 2
9 0
10 30
11 6
12 2
13
A novel relationship for schizophrenia, bipolar and major depressive disorder Part 5: a hint from chromosome 5 high density association screen.
16
14 23
15 12
16
Research on the Grades of Landscape Quality Evaluation on Roadside Slopes Greening
1
17 4
18
Study on Characteristics of Root Shear of Broussonetia papyrifera L. on Rocky-steep Slope
0
19 1
20
Method of simulated testing of pulse laser rangefinder
0

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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