Xin Kong

1.2k citations
22 papers · 709 indexed · h-index 12
Topics
Robotics and Sensor-Based Localization (10 papers)Advanced Image and Video Retrieval Techniques (4 papers)Indoor and Outdoor Localization Technologies (3 papers)
Journals
SHILAP Revista de lepidopterologíaEnergyIEEE/ASME Transactions on Mechatronics

In The Last Decade

Xin Kong

22 papers receiving 685 citations

Peers

Xin Kong
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 389
  • Aerospace Engineering 255
  • Electrical and Electronic Engineering 199
  • Automotive Engineering 137
  • Media Technology 112
Replace Michał Nowicki with:
Michał Nowicki Poland
Fengchi Sun China
Soo-Yeong Yi South Korea
Krzysztof Okarma Poland
Bruno Steux France
Nuria Rodríguez López Spain
Jingming Xie China
Yunwang Li China
Christian Frese Germany
Xin Kong relative to Michał Nowicki Poland Michał Nowicki's profile →
Citations per field
00.5×5.6×
Michał Nowicki · 1×
Citations per year

Countries citing papers authored by Xin Kong

Since Specialization
Citations

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

Fields of papers citing papers by Xin Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Kong. A scholar is included among the top collaborators of Xin Kong 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 Xin Kong. Xin Kong 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 2
2 10
3 47
4 2
5 14
6 71
7 26
8 1
9 173
10 28
11 22
12 82
13 9
14 2
15 8
16 2
17 135
18 5
19 41
20 15

About Xin Kong

Xin Kong is a scholar working on Energy Engineering and Power Technology, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 709 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Indoor and Outdoor Localization Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (389 citations), Geology (84 citations) and Media Technology (112 citations). Xin Kong has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Yong Liu, Xiongwen Zhang, Jun Li, Guojun Li, Mengmeng Wang, Feng Wen, Wanlong Li, Xiangrui Zhao, Liang Liu and Lina Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy and IEEE/ASME Transactions on Mechatronics.

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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