Baobao Chang
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Molecular Biology
- Topics
- Topic Modeling (78 papers)Natural Language Processing Techniques (73 papers)Advanced Text Analysis Techniques (19 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Baobao Chang
101 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 542
- Information Systems 346
- Management Science and Operations Research 164
- Molecular Biology 130
Countries citing papers authored by Baobao Chang
This map shows the geographic impact of Baobao Chang'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 Baobao Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baobao Chang more than expected).
Fields of papers citing papers by Baobao Chang
This network shows the impact of papers produced by Baobao Chang. 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 Baobao Chang. The network helps show where Baobao Chang may publish in the future.
Co-authorship network of co-authors of Baobao Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Baobao Chang. A scholar is included among the top collaborators of Baobao Chang 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 Baobao Chang. Baobao Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 51 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference | 2 |
| 8 | 8 | |
| 9 | 21 | |
| 10 | 29 | |
| 11 | Preliminary Study on the Construction of Chinese Medical Knowledge Graph | 36 |
| 12 | 65 | |
| 13 | Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition | 36 |
| 14 | Event Detection with Burst Information Networks | 12 |
| 15 | Towards Time-Aware Knowledge Graph Completion | 47 |
| 16 | Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping | 7 |
| 17 | Maximum Margin Markov Networks-Based Chinese Word Segmentation Method | 1 |
| 18 | Chinese Semantic Role Labeling Based on Semantic Chunking | 1 |
| 19 | Maximum Entropy-Based Semantic Role Classification | 0 |
| 20 | Chinese Multi-word Chunks Extraction for Computer Aided Translation | 2 |
About Baobao Chang
Baobao Chang is a scholar working on Artificial Intelligence, Computational Mathematics and Management Science and Operations Research, having authored 110 papers that have together received 2.8k indexed citations. Recurring topics across this work include Topic Modeling (78 papers), Natural Language Processing Techniques (73 papers) and Advanced Text Analysis Techniques (19 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Computer Vision and Pattern Recognition (542 citations) and Information Systems (346 citations). Baobao Chang has collaborated with scholars based in China, United States and India. Frequent co-authors include Zhifang Sui, Lei Sha, Tao Ge, Furu Wei, Ming Zhou, Wenhui Wang, Nan Yang, Runxin Xu, Tianyu Liu and Fuli Luo. Their work appears in journals such as Physics of Fluids, Lecture notes in computer science and Language Resources and Evaluation.
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.