Ji Wan

1.1k total citations · 1 hit paper
8 papers, 676 citations indexed

About

Ji Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ji Wan has authored 8 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Ji Wan's work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Video Surveillance and Tracking Methods (2 papers). Ji Wan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Video Surveillance and Tracking Methods (2 papers). Ji Wan collaborates with scholars based in China, Singapore and United States. Ji Wan's co-authors include Yongdong Zhang, Steven C. H. Hoi, Jianke Zhu, Pengcheng Wu, D. Wang, Jintao Li, Xingyu Gao, Jintao Li, Sheng Tang and Jintao Li and has published in prestigious journals such as Neurocomputing, ACM Transactions on Intelligent Systems and Technology and Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).

In The Last Decade

Ji Wan

8 papers receiving 656 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning for Content-Based Image Retrieval

2014 544 citations Ji Wan, D. Wang et al. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji Wan China	7	515	189	82	36	36	8	676
Ning Zhou China	15	532 1.0×	193 1.0×	128 1.6×	30 0.8×	38 1.1×	47	769
Xiaojie Jin China	15	508 1.0×	231 1.2×	47 0.6×	26 0.7×	32 0.9×	31	723
Junjie Zhang China	13	463 0.9×	381 2.0×	162 2.0×	34 0.9×	39 1.1×	78	746
Jiebo Song China	3	343 0.7×	337 1.8×	46 0.6×	38 1.1×	22 0.6×	3	594
Yan‐Ming Zhang China	12	389 0.8×	266 1.4×	82 1.0×	61 1.7×	35 1.0×	31	603
Xiaoqiang Yan China	13	337 0.7×	299 1.6×	50 0.6×	27 0.8×	17 0.5×	36	549
Vasif V. Nabiyev Türkiye	16	527 1.0×	189 1.0×	81 1.0×	79 2.2×	19 0.5×	83	732

Countries citing papers authored by Ji Wan

Since Specialization

Citations

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

Fields of papers citing papers by Ji Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Wan

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Gao, Xingyu, Steven C. H. Hoi, Yongdong Zhang, et al.. (2017). Sparse Online Learning of Image Similarity. ACM Transactions on Intelligent Systems and Technology. 8(5). 1–22. 23 indexed citations

2.

Wan, Ji, Sheng Tang, Yongdong Zhang, et al.. (2016). HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search. Neurocomputing. 237. 401–404. 8 indexed citations

3.

Wan, Ji, Pengcheng Wu, Steven C. H. Hoi, et al.. (2015). Online learning to rank for content-based image retrieval. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 2284–2290. 10 indexed citations

4.

Wang, Jialei, Ji Wan, Yongdong Zhang, & Steven C. H. Hoi. (2015). SOLAR: Scalable Online Learning Algorithms for Ranking. 1692–1701. 6 indexed citations

5.

Gao, Xingyu, Steven C. H. Hoi, Yongdong Zhang, Ji Wan, & Jintao Li. (2014). SOML: Sparse Online Metric Learning with Application to Image Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 65 indexed citations

6.

Wan, Ji, D. Wang, Steven C. H. Hoi, et al.. (2014). Deep Learning for Content-Based Image Retrieval. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 157–166. 544 indexed citations breakdown →

7.

Wan, Ji, Sheng Tang, Yongdong Zhang, Lei Huang, & Jintao Li. (2013). Data driven multi-index hashing. 2670–2673. 13 indexed citations

8.

Huang, Lei, Tian Xia, Ji Wan, Yongdong Zhang, & Shouxun Lin. (2011). Personalized portraits ranking. 1277–1280. 7 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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