Long Ren

802 total citations
54 papers, 568 citations indexed

About

Long Ren is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Long Ren has authored 54 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Biomedical Engineering. Recurrent topics in Long Ren's work include Energy Harvesting in Wireless Networks (9 papers), Innovative Energy Harvesting Technologies (8 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). Long Ren is often cited by papers focused on Energy Harvesting in Wireless Networks (9 papers), Innovative Energy Harvesting Technologies (8 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). Long Ren collaborates with scholars based in China, Japan and Australia. Long Ren's co-authors include Huakang Xia, Renwen Chen, Jianzhong Cao, Zhibin Pan, Yuxin Zhang, Qiyong Gong, Yang Wang, Zhibin Pan, Lu Zhang and Yunkun Li and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Long Ren

49 papers receiving 551 citations

Peers

Long Ren
Comparison fields: 5 of 97
  • Biomedical Engineering 231
  • Electrical and Electronic Engineering 224
  • Mechanical Engineering 209
  • Media Technology 81
  • Computer Vision and Pattern Recognition 70
Replace Ningning Wang with:
Ningning Wang China
Yu-Chi Lin Taiwan
Warren J. Jasper United States
Wenrong Wu China
Shiyu Chen China
Jiahui Li China
Song Liu China
Jin Hee Kim South Korea
Jingwen He China
Ningning Wang China View profile →
Citations per field, relative to Long Ren
Long Ren · 1×
Citations per year, relative to Long Ren
Long Ren · 1×

Countries citing papers authored by Long Ren

Since Specialization
Citations

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

Fields of papers citing papers by Long Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Long Ren. A scholar is included among the top collaborators of Long Ren 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 Ren. Long Ren 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 2
3 2
4 3
5 0
6 2
7 1
8 1
9 3
10 2
11 37
12 22
13 1
14 1
15 3
16 1
17 83
18 2
19 7
20
Chinese Domain Name and Protection of Relevant Intellectual Property Right
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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