Jiantao Gao

1.1k citations
16 papers · 329 indexed · 1 hit paper · h-index 8
Topics
Advanced Neural Network Applications (9 papers)Video Surveillance and Tracking Methods (4 papers)3D Shape Modeling and Analysis (4 papers)
Partner nations
ChinaSwedenHong Kong

In The Last Decade

Jiantao Gao

15 papers receiving 321 citations

Hit Papers

Sparse Single Sweep LiDAR Point Cloud Segmentation via Le...2021202620222024202150100150

Peers

Jiantao Gao
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 224
  • Computational Mechanics 115
  • Aerospace Engineering 77
  • Geology 69
  • Environmental Engineering 60
Replace Jian Dou with:
Jian Dou China
Biao Gao China
Zerong Xi United States
Xiwu Chen China
Jiadai Sun China
Shiyi Lan United States
Xuemeng Yang China
Tai Wang China
Marie‐Julie Rakotosaona United States
Lucas Nunes Germany
Jiantao Gao relative to Jian Dou China Jian Dou's profile →
Citations per field
00.5×1.6×
Jian Dou · 1×
Citations per year

Countries citing papers authored by Jiantao Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jiantao Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiantao Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiantao Gao. A scholar is included among the top collaborators of Jiantao Gao 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 Jiantao Gao. Jiantao Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 8
3 1
4 2
5 6
6 14
7 4
8 23
9 7
10 6
11 1
12 7
13 66
14
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completionbreakdown →
165
15 4
16 15

About Jiantao Gao

Jiantao Gao is a scholar working on Computer Vision and Pattern Recognition, Geology and Computer Graphics and Computer-Aided Design, having authored 16 papers that have together received 329 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Video Surveillance and Tracking Methods (4 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Geology (69 citations), Computer Vision and Pattern Recognition (224 citations) and Computer Graphics and Computer-Aided Design (36 citations). Jiantao Gao has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Shuguang Cui, Jie Li, Rui Huang, Ruimao Zhang, Yan Xu, Zhen Li, Chaoda Zheng, Zhen Li, Wei Zhang and Yan Xu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

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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