Xia Ji

1.4k citations
109 papers · 1.2k · h-index 20

Impact in

Papers in

Xia Ji

103 papers receiving 1.1k citations

Peers

Xia Ji
Comparison fields: 5 of 103
  • Mechanical Engineering 532
  • Condensed Matter Physics 91
  • Automotive Engineering 92
  • Biomedical Engineering 314
  • Civil and Structural Engineering 158
Replace Sheng Dai with:
Sheng Dai China
Peter Torben Tang Denmark
Vinod Kumar Sharma India
Fanchao Meng China
David Huitink United States
José María Gómez de Salazar Spain
Jie Wei China
G.Q. Zhang Netherlands
Kevin Long United States
Xia Ji relative to Sheng Dai China Sheng Dai's profile →
Citations per field
00.5×4.6×
Sheng Dai · 1×
Citations per year

Countries citing papers authored by Xia Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xia Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201451
2 202150
3 201943
4 201342
5 202240
6 201937
7 201736
8 202035
9 202233
10 201729
11 202128
12 202028
13 201825
14 199424
15 202223
16 201522
17 201322
18 199322
19 202221
20 202221

About Xia Ji

Xia Ji is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (27 papers), Advanced Surface Polishing Techniques (23 papers), Advanced Machining and Optimization Techniques (14 papers), Physics of Superconductivity and Magnetism (13 papers), Additive Manufacturing Materials and Processes (12 papers), Additive Manufacturing and 3D Printing Technologies (9 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Magnetic properties of thin films (7 papers). The work is most often cited by research in Mechanical Engineering (532 citations), Condensed Matter Physics (91 citations), Automotive Engineering (92 citations), Biomedical Engineering (314 citations) and Civil and Structural Engineering (158 citations). Xia Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Steven Y. Liang, Xueping Zhang, Beizhi Li, Dan Lü, Xiaowei Cao, Yongfu Wang, Qing Li, Yixuan Feng, John J. Lewandowski and Matthew A. Willard. Their work appears in journals such as Physica C Superconductivity, The International Journal of Advanced Manufacturing Technology, Materials, Optics & Laser Technology and Machining Science and Technology.

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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