Xia Ji

1.4k citations
107 papers · 1.1k indexed · h-index 20

Impact in

Papers in

Xia Ji

99 papers receiving 1.1k citations

Peers

Xia Ji
Comparison fields: 5 of 104
  • Mechanical Engineering 519
  • Condensed Matter Physics 89
  • Automotive Engineering 89
  • Biomedical Engineering 316
  • Civil and Structural Engineering 150
Replace Tao Jin with:
Tao Jin China
Zhifang Zhang China
Sheng Dai China
Peter Torben Tang Denmark
Henning Heuer Germany
Ming Yang Japan
Xin Liang China
Carlo Rosso Italy
Weiling Guo China
Qingsheng Yang China
Xia Ji relative to Tao Jin China Tao Jin's profile →
Citations per field
00.5×2.9×
Tao Jin · 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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201447
2 202147
3 201342
4 202238
5 201938
6 201736
7 201934
8 202033
9 202229
10 201729
11 202026
12 201825
13 199423
14 202123
15 202222
16 199322
17 201522
18 201321
19 202219
20 202219

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 107 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (28 papers), Advanced Surface Polishing Techniques (24 papers), Advanced Machining and Optimization Techniques (15 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 (519 citations), Condensed Matter Physics (89 citations), Automotive Engineering (89 citations), Biomedical Engineering (316 citations) and Civil and Structural Engineering (150 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, Qing Li, Yixuan Feng, Yongfu Wang, John J. Lewandowski and Aihong Kang. Their work appears in journals such as Physica C Superconductivity, The International Journal of Advanced Manufacturing Technology, Materials, Physica B Condensed Matter 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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