Jiuniu Wang

551 total citations
13 papers, 262 citations indexed

About

Jiuniu Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Jiuniu Wang has authored 13 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Media Technology. Recurrent topics in Jiuniu Wang's work include Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Jiuniu Wang is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Jiuniu Wang collaborates with scholars based in China, Hong Kong and Switzerland. Jiuniu Wang's co-authors include Wenjia Xu, Guangluan Xu, Xingyu Fu, Yongqin Xian, Bernt Schiele, Zeynep Akata, Yirong Wu, Xinlong Li, Li Jin and Qing Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Jiuniu Wang

11 papers receiving 255 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiuniu Wang China 8 204 90 25 17 13 13 262
Yiming Zhai China 7 182 0.9× 151 1.7× 20 0.8× 16 0.9× 15 1.2× 24 276
Fuyu Wang China 6 129 0.6× 81 0.9× 51 2.0× 22 1.3× 12 0.9× 15 233
Sheng Zha United States 5 167 0.8× 91 1.0× 8 0.3× 13 0.8× 8 0.6× 9 251
R Prasanna Kumar India 9 107 0.5× 35 0.4× 9 0.4× 25 1.5× 4 0.3× 57 249
Xueqiang Lv China 7 125 0.6× 59 0.7× 5 0.2× 36 2.1× 6 0.5× 38 219
Yangyang Wu China 8 83 0.4× 39 0.4× 9 0.4× 37 2.2× 17 1.3× 22 193
Yao Meng China 12 220 1.1× 71 0.8× 6 0.2× 59 3.5× 9 0.7× 51 355
Thibaut Thonet France 4 90 0.4× 66 0.7× 5 0.2× 23 1.4× 6 0.5× 7 174

Countries citing papers authored by Jiuniu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiuniu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiuniu Wang

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

All Works

13 of 13 papers shown
1.
Wang, Jiuniu, Wenjia Xu, Qingzhong Wang, & Antoni B. Chan. (2024). Group-Based Distinctive Image Captioning with Memory Difference Encoding and Attention. International Journal of Computer Vision. 133(4). 1435–1455.
2.
Xu, Wenjia, Jiuniu Wang, Zhiwei Wei, Mugen Peng, & Yirong Wu. (2023). Deep Semantic-Visual Alignment for zero-shot remote sensing image scene classification. ISPRS Journal of Photogrammetry and Remote Sensing. 198. 140–152. 15 indexed citations
3.
Xu, Wenjia, Yongqin Xian, Jiuniu Wang, Bernt Schiele, & Zeynep Akata. (2022). Attribute Prototype Network for Any-Shot Learning. International Journal of Computer Vision. 130(7). 1735–1753. 25 indexed citations
4.
Wang, Jiuniu, Wenjia Xu, Qingzhong Wang, & Antoni B. Chan. (2022). On Distinctive Image Captioning via Comparing and Reweighting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2088–2103. 20 indexed citations
5.
Xu, Wenjia, Jiuniu Wang, & Yirong Wu. (2022). Multi-Dimension Geospatial Feature Learning for Urban Region Function Recognition. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 5832–5835.
6.
Xu, Wenjia, Yongqin Xian, Jiuniu Wang, Bernt Schiele, & Zeynep Akata. (2022). VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9306–9315. 41 indexed citations
7.
Wang, Jiuniu, Wenjia Xu, Qingzhong Wang, & Antoni B. Chan. (2021). Group-based Distinctive Image Captioning with Memory Attention. 5020–5028. 15 indexed citations
8.
Li, Xinlong, Xingyu Fu, Guangluan Xu, et al.. (2020). Enhancing BERT Representation With Context-Aware Embedding for Aspect-Based Sentiment Analysis. IEEE Access. 8. 46868–46876. 74 indexed citations
9.
Xu, Wenjia, Jiuniu Wang, Yang Wang, et al.. (2020). Where is the Model Looking At? – Concentrate and Explain the Network Attention. IEEE Journal of Selected Topics in Signal Processing. 14(3). 506–516. 12 indexed citations
10.
Li, Xinlong, Xingyu Fu, Guangluan Xu, et al.. (2020). Corrections to “Enhancing BERT Representation With Context-Aware Embedding for Aspect-Based Sentiment Analysis”. IEEE Access. 8. 128042–128042. 2 indexed citations
11.
Wang, Qingzhong, Jiuniu Wang, Antoni B. Chan, et al.. (2020). Neighbours Matter: Image Captioning with Similar Images. 3 indexed citations
12.
Wang, Jiuniu, Wenjia Xu, Xingyu Fu, Guangluan Xu, & Yirong Wu. (2020). ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition. Knowledge-Based Systems. 197. 105842–105842. 50 indexed citations
13.
Wang, Jiuniu, Wenjia Xu, Xingyu Fu, et al.. (2019). SRQA: Synthetic Reader for Factoid Question Answering. Knowledge-Based Systems. 193. 105415–105415. 5 indexed citations

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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