Zhengdong Lu
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Information Systems top 2%
- Co-authors
- Hang LiJiatao GuVictor O. K. LiInderjit S. DhillonMiguel Á. Carreira-PerpiñánWei TangTodd K. LeenLin Ma
- Topics
- Topic Modeling (24 papers)Natural Language Processing Techniques (21 papers)Advanced Graph Neural Networks (9 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhengdong Lu
75 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 954
- Electrical and Electronic Engineering 406
- Atomic and Molecular Physics, and Optics 368
- Information Systems 336
Countries citing papers authored by Zhengdong Lu
This map shows the geographic impact of Zhengdong Lu'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 Zhengdong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengdong Lu more than expected).
Fields of papers citing papers by Zhengdong Lu
This network shows the impact of papers produced by Zhengdong Lu. 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 Zhengdong Lu. The network helps show where Zhengdong Lu may publish in the future.
Co-authorship network of co-authors of Zhengdong Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengdong Lu. A scholar is included among the top collaborators of Zhengdong Lu 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 Zhengdong Lu. Zhengdong Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 66 | |
| 3 | Incorporating Copying Mechanism in Sequence-to-Sequence Learningbreakdown → | 789 |
| 4 | Overview of the NTCIR-12 Short Text Conversation Task. | 15 |
| 5 | Coverage-based Neural Machine Translation. | 37 |
| 6 | Syntax-based deep matching of short texts | 26 |
| 7 | Neural Enquirer: Learning to Query Tables. | 12 |
| 8 | 15 | |
| 9 | A Deep Architecture for Matching Short Texts | 131 |
| 10 | 88 | |
| 11 | A Denoising View of Matrix Completion | 6 |
| 12 | 2 | |
| 13 | 82 | |
| 14 | Hierarchical Fisher Kernels for Longitudinal Data | 1 |
| 15 | 119 | |
| 16 | The Laplacian Eigenmaps Latent Variable Model | 38 |
| 17 | 45 | |
| 18 | People Tracking with the Laplacian Eigenmaps Latent Variable Model | 34 |
| 19 | Semi-supervised Learning with Penalized Probabilistic Clustering | 68 |
| 20 | 11 |
About Zhengdong Lu
Zhengdong Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 76 papers that have together received 3.2k indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (21 papers) and Advanced Graph Neural Networks (9 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (954 citations) and Computational Mathematics (18 citations). Zhengdong Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hang Li, Jiatao Gu, Victor O. K. Li, Inderjit S. Dhillon, Miguel Á. Carreira-Perpiñán, Hang Li, Hang Li, Wei Tang, Todd K. Leen and Lin Ma. Their work appears in journals such as Physical review. B, Condensed matter, Applied Physics Letters and Journal of Applied Physics.
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.