Bing Xiang
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Topic Modeling 57
- Natural Language Processing Techniques 54
- Speech Recognition and Synthesis 23
- Speech and dialogue systems 12
- Text Readability and Simplification 7
- Domain Adaptation and Few-Shot Learning 6
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- Multimodal Machine Learning Applications 11
- Co-authors
- Bowen Zhou (23 shared papers)Ramesh Nallapati (24 shared papers)Cícero dos Santos (3 shared papers)Wenpeng Yin (2 shared papers)Hinrich Schütze (1 shared paper)Pramuditha Perera (2 shared papers)Cícero Nogueira dos Santos (13 shared papers)Mo Yu (4 shared papers)
- Journals
- IEEE Transactions on Speech and Audio Processing (1 paper)Applied Sciences (1 paper)Contemporary Accounting Research (1 paper)IEEE Transactions on Audio Speech and Language Processing (1 paper)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Bing Xiang
82 papers receiving 3.7k citations
Bing Xiang's Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 3.4k
- Signal Processing 538
- Computer Vision and Pattern Recognition 659
- Information Systems 457
- Management Science and Operations Research 124
Countries citing papers authored by Bing Xiang
This map shows the geographic impact of Bing Xiang'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 Bing Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Xiang more than expected).
Fields of papers citing papers by Bing Xiang
This network shows the impact of papers produced by Bing Xiang. 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 Bing Xiang. The network helps show where Bing Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Xiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs Hit paper breakdown → | 2016 | 621 |
| 2 | Classifying Relations by Ranking with Convolutional Neural Networks Hit paper breakdown → | 2015 | 364 |
| 3 | OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations Hit paper breakdown → | 2019 | 334 |
| 4 | A Structured Self-Attentive Sentence Embedding. | 2017 | 182 |
| 5 | 2017 | 170 | |
| 6 | 2016 | 161 | |
| 7 | 2004 | 140 | |
| 8 | 2019 | 130 | |
| 9 | 2021 | 122 | |
| 10 | Combining Outputs from Multiple Machine Translation Systems | 2007 | 115 |
| 11 | 2002 | 79 | |
| 12 | 2016 | 74 | |
| 13 | 2021 | 72 | |
| 14 | 2015 | 71 | |
| 15 | 2020 | 68 | |
| 16 | 2017 | 64 | |
| 17 | 2003 | 63 | |
| 18 | 2016 | 59 | |
| 19 | 2021 | 57 | |
| 20 | 2019 | 56 |
About Bing Xiang
Bing Xiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Management Science and Operations Research, having authored 88 papers that have together received 3.9k indexed citations. Recurring topics across this work include Topic Modeling (57 papers), Natural Language Processing Techniques (54 papers), Speech Recognition and Synthesis (23 papers), Speech and dialogue systems (12 papers), Multimodal Machine Learning Applications (11 papers), Speech and Audio Processing (10 papers), Text Readability and Simplification (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Artificial Intelligence (3.4k citations), Signal Processing (538 citations), Computer Vision and Pattern Recognition (659 citations), Information Systems (457 citations) and Management Science and Operations Research (124 citations). Bing Xiang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Bowen Zhou, Ramesh Nallapati, Cícero dos Santos, Wenpeng Yin, Hinrich Schütze, Pramuditha Perera, Cícero Nogueira dos Santos, Mo Yu, Zhiguo Wang and Henghui Zhu. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, Applied Sciences, Contemporary Accounting Research, IEEE Transactions on Audio Speech and Language Processing and Transactions of the Association for Computational Linguistics.
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.