Ming Zhou
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Topics
- Natural Language Processing Techniques (43 papers)Topic Modeling (42 papers)Multimodal Machine Learning Applications (11 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement of Technology and Innovation
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Zhou
112 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 436
- Information Systems 195
- Management Science and Operations Research 136
- Electrical and Electronic Engineering 127
Countries citing papers authored by Ming Zhou
This map shows the geographic impact of Ming Zhou'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 Ming Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zhou more than expected).
Fields of papers citing papers by Ming Zhou
This network shows the impact of papers produced by Ming Zhou. 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 Ming Zhou. The network helps show where Ming Zhou may publish in the future.
Co-authorship network of co-authors of Ming Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhou. A scholar is included among the top collaborators of Ming Zhou 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 Ming Zhou. Ming Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 48 | |
| 7 | TableBank: Table Benchmark for Image-based Table Detection and Recognition | 33 |
| 8 | Mean Field Multi-Agent Reinforcement Learning | 45 |
| 9 | Event Detection with Burst Information Networks | 12 |
| 10 | Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation | 15 |
| 11 | 11 | |
| 12 | 2 | |
| 13 | Translation Model Size Reduction for Hierarchical Phrase-based Statistical Machine Translation | 3 |
| 14 | Learning Translation Consensus with Structured Label Propagation | 9 |
| 15 | Discriminative Pruning for Discriminative ITG Alignment | 3 |
| 16 | Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation | 14 |
| 17 | Combining Multiple Resources to Improve SMT-based Paraphrasing Model | 49 |
| 18 | Improving Query Spelling Correction Using Web Search Results | 64 |
| 19 | Phrase Reordering Model Integrating Syntactic Knowledge for SMT | 20 |
| 20 | A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation | 62 |
About Ming Zhou
Ming Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Energy Engineering and Power Technology, having authored 118 papers that have together received 2.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (43 papers), Topic Modeling (42 papers) and Multimodal Machine Learning Applications (11 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (436 citations) and Management of Technology and Innovation (89 citations). Ming Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Furu Wei, Dongdong Zhang, Mu Li, Shujie Liu, Shuangzhi Wu, Mu Li, Duyu Tang, Zhirui Zhang, Bing Qin and Ting Liu. Their work appears in journals such as Bioresource Technology, Sensors and Frontiers in Psychology.
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.