Josiah Wang
-
- Multimodal Machine Learning Applications 15
- Advanced Image and Video Retrieval Techniques 8
- Image Retrieval and Classification Techniques 4
- Video Analysis and Summarization 3
- Human Pose and Action Recognition 2
- Artificial Intelligence top 10%
- Natural Language Processing Techniques 6
- Topic Modeling 6
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Mark EveringhamKatja MarkertLucia SpeciaPranava MadhyasthaRobert GaizauskasEmmanuel DellandréaBoyang GaoKashif Shah
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)Natural Language Engineering (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United KingdomSpainFrance
In The Last Decade
Josiah Wang
18 papers receiving 311 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 268
- Artificial Intelligence 175
- Ecological Modeling 12
- Developmental Biology 5
- Media Technology 18
Countries citing papers authored by Josiah Wang
This map shows the geographic impact of Josiah 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 Josiah Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josiah Wang more than expected).
Fields of papers citing papers by Josiah Wang
This network shows the impact of papers produced by Josiah 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 Josiah Wang. The network helps show where Josiah Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Josiah Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 2 | |
| 2 | 2019 | 1 | |
| 3 | 2019 | 27 | |
| 4 | 2019 | 21 | |
| 5 | End-to-end Image Captioning Exploits Multimodal Distributional Similarity | 2018 | 2 |
| 6 | 2018 | 18 | |
| 7 | 2018 | 1 | |
| 8 | 2017 | 50 | |
| 9 | 2017 | 8 | |
| 10 | 2017 | 4 | |
| 11 | 2016 | 3 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 21 | |
| 14 | 2015 | 17 | |
| 15 | 2015 | 5 | |
| 16 | 2015 | 2 | |
| 17 | 2014 | 4 | |
| 18 | 2009 | 141 |
About Josiah Wang
Josiah Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ecological Modeling, Genetics and Infectious Diseases, having authored 18 papers that have together received 329 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (15 papers), Advanced Image and Video Retrieval Techniques (8 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Image Retrieval and Classification Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Video Analysis and Summarization (3 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (268 citations), Artificial Intelligence (175 citations), Ecological Modeling (12 citations), Developmental Biology (5 citations) and Media Technology (18 citations). Josiah Wang has collaborated with scholars based in United Kingdom, Spain and France. Frequent co-authors include Mark Everingham, Katja Markert, Lucia Specia, Pranava Madhyastha, Robert Gaizauskas, Emmanuel Dellandréa, Boyang Gao, Kashif Shah, Liming Chen and Xiaofang Wang. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Natural Language Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, SHILAP Revista de lepidopterología and Spiral (Imperial College London).
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.