Xinyu Tian

2.5k citations
59 papers · 1.3k indexed · 2 hit papers · h-index 19
Topics
Advanced Neural Network Applications (7 papers)Conducting polymers and applications (7 papers)Advanced Sensor and Energy Harvesting Materials (6 papers)
Partner nations
ChinaItalyUnited States

In The Last Decade

Xinyu Tian

49 papers receiving 1.3k citations

Hit Papers

Tumor biomarkers for diagnosis, prognosis and targeted th...2024202620252024202550100150200250

Peers

Xinyu Tian
Comparison fields: 5 of 153
  • Computer Vision and Pattern Recognition 290
  • Artificial Intelligence 281
  • Biomedical Engineering 185
  • Electrical and Electronic Engineering 181
  • Molecular Biology 160
Replace Yongxin Liu with:
Yongxin Liu China
Yiqi Wu China
Yupei Zhang China
Pengjun Wang China
Minhyeok Lee South Korea
Yang Hu China
Ajoy Kumar Ray India
Xiang Song China
Yuan Gao China
Xinyu Tian relative to Yongxin Liu China Yongxin Liu's profile →
Citations per field
00.5×2.6×
Yongxin Liu · 1×
Citations per year

Countries citing papers authored by Xinyu Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Tian. A scholar is included among the top collaborators of Xinyu Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinyu Tian. Xinyu Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Rethinking the multi-scale feature hierarchy in object detection transformer (DETR)breakdown →
19
3 1
4 15
5 1
6 6
7 29
8 11
9 13
10 6
11 37
12 58
13 58
14 9
15 34
16 4
17 132
18 18
19 7
20 84

About Xinyu Tian

Xinyu Tian is a scholar working on Polymers and Plastics, Computer Vision and Pattern Recognition and Software, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Conducting polymers and applications (7 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Polymers and Plastics (133 citations) and Artificial Intelligence (281 citations). Xinyu Tian has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Qinghe Zheng, Abdussalam Elhanashi, Sergio Saponara, Zhiguo Yu, Nan Jiang, Jiahao Qiu, Lei Tao, Yue Zhou, Deqiang Wang and Xiaobo Cen. Their work appears in journals such as Advanced Materials, PLoS ONE and Analytical Chemistry.

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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