Xin Tong

1.2k citations
69 papers · 826 indexed · h-index 15

Xin Tong

61 papers receiving 805 citations

Peers

Xin Tong
Comparison fields: 5 of 145
  • Aerospace Engineering 161
  • Media Technology 31
  • Pulmonary and Respiratory Medicine 102
  • Geriatrics and Gerontology 12
  • Neurology 24
Replace Masashi Shimizu with:
Masashi Shimizu Japan
Tae Keun Yoo South Korea
Huijun Hu China
Hongzhi Xie China
Bin Luo China
Celina Imielińska United States
Jiacheng Zhang China
Abdulla Al‐Ansari Qatar
Enzo Ferrante Argentina
Xin Tong relative to Masashi Shimizu Japan Masashi Shimizu's profile →
Citations per field
00.5×4.6×
Masashi Shimizu · 1×
Citations per year

Countries citing papers authored by Xin Tong

Since Specialization
Citations

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

Fields of papers citing papers by Xin Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20254
3 20240
4 20241
5 20240
6 20235
7 20239
8 20233
9 20237
10 20234
11 202340
12 20226
13 20212
14 202020
15 20164
16
Correlation research on the protein expression (p75NTR, bax, bcl-2, and caspase-3) and cortical neuron apoptosis following mechanical injury in rat.
20159
17 201321
18
Application research of gray Verhulst-BP neural network combined model on prediction
20111
19 200845
20
Satellite interference location based RBF neural network method
20002

About Xin Tong

Xin Tong is a scholar working on Aerospace Engineering, Radiation and Control and Systems Engineering, having authored 69 papers that have together received 826 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (9 papers), Adaptive Control of Nonlinear Systems (6 papers), Nuclear Physics and Applications (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Atomic and Subatomic Physics Research (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Quantum, superfluid, helium dynamics (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Aerospace Engineering (161 citations), Media Technology (31 citations) and Pulmonary and Respiratory Medicine (102 citations). Xin Tong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Fuhua Yang, Zhaofeng Li, Yan Su, Guowei Han, Ning Jin, Zhenqiu Liu, Tiejun Zhang, Xingdong Chen, Chen Suo and Jiahui Fan. Their work appears in journals such as SHILAP Revista de lepidopterología, Contemporary Sociology A Journal of Reviews and Hepatology.

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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