Bing Xiang
- Artificial Intelligence top 0.2%
- Topic Modeling 57
- Natural Language Processing Techniques 54
- Speech Recognition and Synthesis 23
- Speech and dialogue systems 12
- Text Readability and Simplification 7
- Signal Processing top 1%
- Speech and Audio Processing 10
- Music and Audio Processing 6
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- Multimodal Machine Learning Applications 11
- Information Systems top 2%
- Co-authors
- Bowen ZhouRamesh NallapatiCícero dos SantosWenpeng YinHinrich SchützePramuditha PereraCícero Nogueira dos SantosMo Yu
- Journals
- IEEE Signal Processing Letters (1 paper)Ocean Engineering (1 paper)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Bing Xiang
81 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 3.4k
- Signal Processing 537
- Computer Vision and Pattern Recognition 655
- Information Systems 447
- Management Science and Operations Research 122
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 16 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 23 | |
| 8 | 2020 | 36 | |
| 9 | Unsupervised Domain Adaptation for Cross-lingual Text Labeling. | 2020 | 4 |
| 10 | 2018 | 42 | |
| 11 | 2018 | 54 | |
| 12 | A Structured Self-Attentive Sentence Embedding. | 2017 | 182 |
| 13 | End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking. | 2016 | 6 |
| 14 | Tree-based Convolution for Sentence Modeling. | 2015 | 1 |
| 15 | 2013 | 0 | |
| 16 | Enlisting the Ghost: Modeling Empty Categories for Machine Translation | 2013 | 21 |
| 17 | Two-Neighbor Orientation Model with Cross-Boundary Global Contexts | 2013 | 2 |
| 18 | Improving Reordering for Statistical Machine Translation with Smoothed Priors and Syntactic Features | 2011 | 8 |
| 19 | Enriching SCFG Rules Directly From Efficient Bilingual Chart Parsing | 2009 | 10 |
| 20 | Combining Outputs from Multiple Machine Translation Systems | 2007 | 114 |
About Bing Xiang
Bing Xiang is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, General Social Sciences and Information Systems, 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 Music and Audio Processing (6 papers). The work is most often cited by research in Artificial Intelligence (3.4k citations), Signal Processing (537 citations), Computer Vision and Pattern Recognition (655 citations), Information Systems (447 citations) and Management Science and Operations Research (122 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 Signal Processing Letters, Ocean Engineering, Transactions of the Association for Computational Linguistics, IEEE Transactions on Audio Speech and Language Processing and Contemporary Accounting Research.
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.