Feng Ni

568 total citations
34 papers, 293 citations indexed

About

Feng Ni is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Hepatology. According to data from OpenAlex, Feng Ni has authored 34 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Electrical and Electronic Engineering and 5 papers in Hepatology. Recurrent topics in Feng Ni's work include Hepatitis C virus research (5 papers), Electric Vehicles and Infrastructure (2 papers) and Reproductive Biology and Fertility (2 papers). Feng Ni is often cited by papers focused on Hepatitis C virus research (5 papers), Electric Vehicles and Infrastructure (2 papers) and Reproductive Biology and Fertility (2 papers). Feng Ni collaborates with scholars based in China, United States and Pakistan. Feng Ni's co-authors include John K. Snyder, Yi Gong, Hamid M. Abdolmaleky, Jin‐Rong Zhou, Lin Li, A. Donny Strosberg, Virginia Takahashi, Smitha Kota, Scott E. Schaus and David Arnott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Feng Ni

31 papers receiving 286 citations

Peers

Feng Ni
Comparison fields: 5 of 95
  • Molecular Biology 103
  • Organic Chemistry 56
  • Hepatology 54
  • Epidemiology 46
  • Complementary and alternative medicine 38
Replace Palak K. Parikh with:
Palak K. Parikh India
Umesh Hanumegowda United States
Monika Verma India
Siddharth Sinha Macao
Xiaohe Guo China
Xiao-E Lou China
Francisco X. Talamás United States
Demetra S.M. Chatzileontiadou Greece
Kai Gao China
Yana Rose United States
Palak K. Parikh India View profile →
Citations per field, relative to Feng Ni
Feng Ni · 1×
Citations per year, relative to Feng Ni
Feng Ni · 1×

Countries citing papers authored by Feng Ni

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ni. A scholar is included among the top collaborators of Feng Ni 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 Feng Ni. Feng Ni 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 1
2 1
3 0
4 4
5 2
6 1
7 6
8 2
9 2
10 1
11 12
12
The Design of EV′s Service Platform Based on Cloud Computing
1
13 17
14 22
15 17
16 17
17 3
18
Application of improved particle swarm optimization in radar network deployment
2
19 24
20 1

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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