Wang Ji

793 citations
56 papers · 618 · h-index 15

Impact in

Papers in

Wang Ji

51 papers receiving 607 citations

Peers

Wang Ji
Comparison fields: 5 of 89
  • General Engineering 52
  • Civil and Structural Engineering 231
  • Mechanical Engineering 215
  • Electrical and Electronic Engineering 190
  • Inorganic Chemistry 46
Replace Lin Qi with:
Lin Qi China
Cheng Cheng China
Jifei Wang China
Jianwei Yan China
Li Jian China
Jianping Huang China
Hongchen Miao China
Linjuan Wang China
Jingxiao Liu United States
Wang Ji relative to Lin Qi China Lin Qi's profile →
Citations per field
00.5×7.4×
Lin Qi · 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201972
2 201962
3 201936
4 201935
5 201926
6 202025
7 201324
8 202223
9 202022
10 202022
11 201920
12 202118
13
An adaptive regularized inversion algorithm for magnetotelluric data
200518
14 201717
15 201616
16 202114
17 201913
18 201312
19 202112
20 202011

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 56 papers that have together received 618 indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (9 papers), Photonic and Optical Devices (7 papers), Asphalt Pavement Performance Evaluation (6 papers), Advanced Fiber Optic Sensors (6 papers), Perovskite Materials and Applications (4 papers), Structural Behavior of Reinforced Concrete (4 papers), Optical Network Technologies (3 papers) and Geotechnical Engineering and Underground Structures (3 papers). The work is most often cited by research in General Engineering (52 citations), Civil and Structural Engineering (231 citations), Mechanical Engineering (215 citations), Electrical and Electronic Engineering (190 citations) and Inorganic Chemistry (46 citations). Wang Ji has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Juanjuan Ren, Shijie Deng, Kai Wei, Haolan Li, Liang Gao, Yunlin Chen, Jun Yan, Li Pei, Jingjing Zheng and Jianshuai Wang. Their work appears in journals such as Construction and Building Materials, Optical Fiber Technology, Measurement, Journal of Solid State Chemistry 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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