Zhihe Lu

819 citations
16 papers · 458 indexed · h-index 8
Topics
Multimodal Machine Learning Applications (8 papers)Domain Adaptation and Few-Shot Learning (5 papers)Face recognition and analysis (4 papers)
Journals
IEEE Transactions on Image ProcessingPattern Recognition2021 IEEE/CVF International Conference on Computer Vision (ICCV)

In The Last Decade

Zhihe Lu

13 papers receiving 450 citations

Peers

Zhihe Lu
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 384
  • Artificial Intelligence 263
  • Radiology, Nuclear Medicine and Imaging 37
  • Media Technology 28
  • Signal Processing 21
Replace Jogendra Nath Kundu with:
Jogendra Nath Kundu India
Sungeun Hong South Korea
Muhammad Uzair Khattak United Arab Emirates
Qianfen Jiao China
Shunfeng Zhou China
Enrico Fini Italy
Fabio Maria Carlucci Italy
Tong Che Algeria
Zhihe Lu relative to Jogendra Nath Kundu India Jogendra Nath Kundu's profile →
Citations per field
00.5×2.5×
Jogendra Nath Kundu · 1×
Citations per year

Countries citing papers authored by Zhihe Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zhihe Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihe Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihe Lu. A scholar is included among the top collaborators of Zhihe Lu 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 Zhihe Lu. Zhihe Lu 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 0
3 4
4 1
5 4
6 1
7 0
8 16
9 17
10 44
11 132
12 121
13 9
14 89
15 14
16 6

About Zhihe Lu

Zhihe Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications, having authored 16 papers that have together received 458 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (384 citations), Artificial Intelligence (263 citations) and Media Technology (28 citations). Zhihe Lu has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Tao Xiang, Yi-Zhe Song, Xiatian Zhu, Sen He, Ran He, Li Zhang, Zhenan Sun, Cong Liu, Lingxiao Song and Yongxin Yang. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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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