Xin-Ji Lai

457 citations
7 papers · 287 indexed · 1 hit paper · h-index 4
Topics
Digital Holography and Microscopy (3 papers)Optical measurement and interference techniques (2 papers)Topological and Geometric Data Analysis (2 papers)
Partner nations
ChinaTaiwanUnited States

In The Last Decade

Xin-Ji Lai

6 papers receiving 275 citations

Hit Papers

3D Object Detection for Autonomous Driving: A Survey2022202620232024202250100150200250

Peers

Xin-Ji Lai
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 188
  • Aerospace Engineering 85
  • Automotive Engineering 56
  • Environmental Engineering 39
  • Artificial Intelligence 34
Replace Min-Jian Zhao with:
Min-Jian Zhao China
Sunghoon Im South Korea
Javier Hidalgo‐Carrió Germany
Chiun-Hong Chien United States
Alasdair Newson France
Yunfeng Cao China
Samia Bouchafa France
Wentao Bao United States
Zhengfa Liang China
Yohan Fougerolle France
Xin-Ji Lai relative to Min-Jian Zhao China Min-Jian Zhao's profile →
Citations per field
00.5×1.5×2.4×
Min-Jian Zhao · 1×
Citations per year

Countries citing papers authored by Xin-Ji Lai

Since Specialization
Citations

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

Fields of papers citing papers by Xin-Ji Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin-Ji Lai

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 1
3
3D Object Detection for Autonomous Driving: A Surveybreakdown →
252
4 6
5 23
6 1
7 4

About Xin-Ji Lai

Xin-Ji Lai is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 7 papers that have together received 287 indexed citations. Recurring topics across this work include Digital Holography and Microscopy (3 papers), Optical measurement and interference techniques (2 papers) and Topological and Geometric Data Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Geology (27 citations) and Automotive Engineering (56 citations). Xin-Ji Lai has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Rui Qian, Xirong Li, Chung‐Hsin Wu, Yong Lin, Zhi‐Yuan Zhou, Shuai Zhang, Zixi Wang and Yubo Huang. Their work appears in journals such as Pattern Recognition, Japanese Journal of Applied Physics and Physica A Statistical Mechanics and its Applications.

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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