Liqiang Nie

29.4k citations
410 papers · 14.9k indexed · 8 hit papers · h-index 60
Topics
Multimodal Machine Learning Applications (122 papers)Advanced Image and Video Retrieval Techniques (102 papers)Topic Modeling (79 papers)
Partner nations
ChinaSingaporeAustralia

In The Last Decade

Liqiang Nie

382 papers receiving 14.7k citations

Hit Papers

SCA-CNN: Spatial and Channel-Wise Attention in Convolutio...2015202620182022201720172015201920164008001.2k

Peers

Liqiang Nie
Comparison fields: 5 of 162
  • Computer Vision and Pattern Recognition 9.0k
  • Artificial Intelligence 6.6k
  • Information Systems 3.5k
  • Signal Processing 786
  • Media Technology 736
Replace Richang Hong with:
Richang Hong China
Tao Mei China
Changsheng Xu China
Steven C. H. Hoi Singapore
Tat‐Seng Chua Singapore
Yue Gao China
Rongrong Ji China
Heng Tao Shen China
Xiaojun Chang China
Hanwang Zhang China
Liqiang Nie relative to Richang Hong China Richang Hong's profile →
Citations per field
00.5×1.5×1.9×
Richang Hong · 1×
Citations per year

Countries citing papers authored by Liqiang Nie

Since Specialization
Citations

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

Fields of papers citing papers by Liqiang Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqiang Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Liqiang Nie. A scholar is included among the top collaborators of Liqiang Nie 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 Liqiang Nie. Liqiang Nie 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 1
3 1
4 6
5 3
6 0
7 7
8 15
9 6
10 3
11 2
12 9
13 3
14 14
15 2
16 3
17 68
18 10
19 51
20 30

About Liqiang Nie

Liqiang Nie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 410 papers that have together received 14.9k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (122 papers), Advanced Image and Video Retrieval Techniques (102 papers) and Topic Modeling (79 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.0k citations), Artificial Intelligence (6.6k citations) and Information Systems (3.5k citations). Liqiang Nie has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Tat‐Seng Chua, Xuemeng Song, Xiangnan He, Hanwang Zhang, Wei Liu, Xiang Wang, Luming Zhang, Yinwei Wei, Meng Wang and David S. Rosenblum. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

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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