Wang Ji

820 citations
58 papers · 652 · h-index 15

Impact in

Papers in

Wang Ji

52 papers receiving 642 citations

Peers

Wang Ji
Comparison fields: 5 of 90
  • General Engineering 53
  • Civil and Structural Engineering 247
  • Mechanical Engineering 222
  • Inorganic Chemistry 48
  • Electrical and Electronic Engineering 196
Replace Cheng Cheng with:
Cheng Cheng China
Jianwei Yan China
Jingxiao Liu United States
Jifei Wang China
Yi Cheng China
Marco Meucci Italy
Dorrin Jarrahbashi United States
Hongmei Li China
Jean‐Louis Sans France
Wang Ji relative to Cheng Cheng China Cheng Cheng's profile →
Citations per field
00.5×12×
Cheng Cheng · 1×
Citations per year

Countries citing papers authored by Wang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Wang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wang Ji, 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 Wang Ji Line = papers co-authored together Wang Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201964
3 201936
4 201936
5 201928
6 202227
7 202026
8 202024
9 201324
10 202022
11 201921
12 202119
13
An adaptive regularized inversion algorithm for magnetotelluric data
200518
14 201717
15 201617
16 201314
17 201914
18 202114
19 202113
20 202012

About Wang Ji

Wang Ji is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Civil and Structural Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 58 papers that have together received 652 indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (10 papers), Photonic and Optical Devices (7 papers), Advanced Fiber Optic Sensors (6 papers), Asphalt Pavement Performance Evaluation (6 papers), Structural Behavior of Reinforced Concrete (4 papers), Perovskite Materials and Applications (4 papers), Innovative concrete reinforcement materials (3 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). The work is most often cited by research in General Engineering (53 citations), Civil and Structural Engineering (247 citations), Mechanical Engineering (222 citations), Inorganic Chemistry (48 citations) and Electrical and Electronic Engineering (196 citations). Wang Ji has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Shijie Deng, Juanjuan Ren, Kai Wei, Haolan Li, Liang Gao, Yunlin Chen, Jun Yan, Li Pei, Jingjing Zheng and Xiao Li. Their work appears in journals such as Construction and Building Materials, Optical Fiber Technology, Journal of Solid State Chemistry, Measurement and Optical Materials.

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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