Qifa Ke

4.1k citations
37 papers · 2.7k indexed · 2 hit papers · h-index 23

Qifa Ke

36 papers receiving 2.6k citations

Hit Papers

A Multi-View Embedding Space for Modeling Internet Im...4092005202620122019100200300400

Peers

Qifa Ke
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 2.0k
  • Signal Processing 325
  • Computational Mathematics 17
  • Artificial Intelligence 816
  • Media Technology 206
Replace Dezhong Peng with:
Dezhong Peng China
Baoyuan Wu China
Peng Hu China
Alexandr Andoni United States
Xiangwei Kong China
Huizi Mao United States
Driss Aboutajdine Morocco
Chong‐Ho Choi South Korea
Dacheng Tao Australia
P. J. Narayanan India
Qifa Ke relative to Dezhong Peng China Dezhong Peng's profile →
Citations per field
00.5×5.3×
Dezhong Peng · 1×
Citations per year

Countries citing papers authored by Qifa Ke

Since Specialization
Citations

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

Fields of papers citing papers by Qifa Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Qifa Ke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qifa Ke Line = papers co-authored together Qifa Ke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2018148
2 201830
3 201814
4 2014233
5 20141
6 2013224
7
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semanticsbreakdown →
2013409
8
A Multi-View Embedding Space for Internet Images, Tags, and Their Semantics
20126
9 201229
10
Optimizing data partitioning for data-parallel computing
201123
11 201036
12
BotGraph: large scale spamming botnet detection
2009121
13 200932
14 2009139
15 200774
16 20075
17
Robust L₁ Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programmingbreakdown →
2005424
18 200323
19 199712
20
Energy-based Method for Road Extraction from Satellite Images
19962

About Qifa Ke

Qifa Ke is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Statistics and Probability, Media Technology and Artificial Intelligence, having authored 37 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (13 papers), Advanced Vision and Imaging (9 papers), Spam and Phishing Detection (5 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Statistical Methods and Models (3 papers), Network Security and Intrusion Detection (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Signal Processing (325 citations), Computational Mathematics (17 citations), Artificial Intelligence (816 citations) and Media Technology (206 citations). Qifa Ke has collaborated with scholars based in United States, China and India. Frequent co-authors include Takeo Kanade, Michael Isard, Jian Sun, Tiezheng Ge, Kaiming He, Zhong Wu, Svetlana Lazebnik, Yunchao Gong, Jian Sun and Xiaochuan Ni. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Pattern Recognition Letters, Machine Vision and Applications and UNC Libraries.

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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