Yiming Ji

1.1k citations
62 papers · 850 · h-index 18

Impact in

Papers in

    • Molecular Communication and Nanonetworks 6
    • Characterization and Applications of Magnetic Nanoparticles 5
    • Microfluidic and Bio-sensing Technologies 4
    • Fluid Dynamics and Mixing 3
    • Micro and Nano Robotics 16

Yiming Ji

56 papers receiving 837 citations

Peers

Yiming Ji
Comparison fields: 5 of 116
  • Condensed Matter Physics 216
  • Rheumatology 110
  • Biomedical Engineering 273
  • Oral Surgery 28
  • Mechanical Engineering 130
Replace Lei Jing with:
Lei Jing China
Jiaxin Wang China
Zhenyao Xu China
Zehao Chen China
Seung-Min Lee South Korea
Huijuan Dong China
Moumita Das United States
Yunfei Guo China
Haowei Li China
Po‐Ting Wu Taiwan
Yiming Ji relative to Lei Jing China Lei Jing's profile →
Citations per field
00.5×10×20×28×
Lei Jing · 1×
Citations per year

Countries citing papers authored by Yiming Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202177
2 202060
3 202347
4 202238
5 202336
6 201036
7 201336
8 201035
9 202134
10 202234
11 202033
12 202329
13 202226
14 201324
15 202221
16 201021
17 201319
18 201718
19 202216
20 202215

About Yiming Ji

Yiming Ji is a scholar working on Biomedical Engineering, Condensed Matter Physics, Molecular Biology, Mechanical Engineering and Rheumatology, having authored 62 papers that have together received 850 indexed citations. Recurring topics across this work include Micro and Nano Robotics (16 papers), Bone Tumor Diagnosis and Treatments (6 papers), Molecular Communication and Nanonetworks (6 papers), Modular Robots and Swarm Intelligence (5 papers), Characterization and Applications of Magnetic Nanoparticles (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Fluid Dynamics and Mixing (3 papers). The work is most often cited by research in Condensed Matter Physics (216 citations), Rheumatology (110 citations), Biomedical Engineering (273 citations), Oral Surgery (28 citations) and Mechanical Engineering (130 citations). Yiming Ji has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lin Feng, Yuguo Dai, Luyao Wang, Hongyan Sun, Huawei Chen, Lina Jia, Xue Bai, Huilin Yang, Xin Mei and Huilin Yang. Their work appears in journals such as Small, IEEE Robotics and Automation Letters, Gene, Journal of Neuro-Oncology and Oncotarget.

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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