Teng Ren

707 citations
45 papers · 442 · h-index 11

Impact in

Papers in

Teng Ren

37 papers receiving 431 citations

Peers

Teng Ren
Comparison fields: 5 of 75
  • Industrial and Manufacturing Engineering 135
  • Modeling and Simulation 49
  • Numerical Analysis 38
  • Automotive Engineering 82
  • Applied Mathematics 63
Replace Kristo Karjust with:
Kristo Karjust Estonia
Shu Wang China
Alhanouf Alburaikan Saudi Arabia
Meysam Hosseini Iran
Nikolay Hinov Bulgaria
Qinglin Wang China
Nicolás Muñóz-Galeano Colombia
Ignacio Castillo Canada
Teng Ren relative to Kristo Karjust Estonia Kristo Karjust's profile →
Citations per field
00.5×3.6×
Kristo Karjust · 1×
Citations per year

Countries citing papers authored by Teng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Teng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Teng Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Teng Ren Line = papers co-authored together Teng Ren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202179
2 201762
3 202354
4 201836
5 202228
6 202223
7 201921
8 202415
9 202212
10 202112
11 202410
12 202210
13 20249
14 20228
15 20246
16 20245
17 20225
18 20135
19 20255
20 20204

About Teng Ren

Teng Ren is a scholar working on Polymers and Plastics, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Mechanical Engineering and Automotive Engineering, having authored 45 papers that have together received 442 indexed citations. Recurring topics across this work include Polymer Nanocomposites and Properties (9 papers), Vehicle Routing Optimization Methods (6 papers), Polymer composites and self-healing (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Electric Vehicles and Infrastructure (4 papers), Nonlinear Differential Equations Analysis (4 papers), Transportation and Mobility Innovations (3 papers) and Scheduling and Optimization Algorithms (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (135 citations), Modeling and Simulation (49 citations), Numerical Analysis (38 citations), Automotive Engineering (82 citations) and Applied Mathematics (63 citations). Teng Ren has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Lining Xing, Zhixing Luo, Hu Qin, Xinguang Zhang, Lishan Liu, Binbin Jia, Ling Wang, Wen Long, Liqiang Hu and Zhaoquan Cai. Their work appears in journals such as Polymer Degradation and Stability, Sensors and Actuators A Physical, Swarm and Evolutionary Computation, Journal of Applied Polymer Science and Neural Computing and Applications.

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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