Ning Liu
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Pulmonary and Respiratory Medicine top 10%
- Oncology top 10%
- Surgery
- Topics
- Gastric Cancer Management and Outcomes (13 papers)Metastasis and carcinoma case studies (11 papers)Text and Document Classification Technologies (8 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ning Liu
110 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 502
- Computer Vision and Pattern Recognition 420
- Pulmonary and Respiratory Medicine 387
- Oncology 282
- Surgery 201
Countries citing papers authored by Ning Liu
This map shows the geographic impact of Ning Liu'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 Ning Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Liu more than expected).
Fields of papers citing papers by Ning Liu
This network shows the impact of papers produced by Ning Liu. 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 Ning Liu. The network helps show where Ning Liu may publish in the future.
Co-authorship network of co-authors of Ning Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ning Liu. A scholar is included among the top collaborators of Ning Liu 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 Ning Liu. Ning Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 21 | |
| 17 | [Prognosis analysis of 310 patients with pathological stage pN3 gastric cancer]. | 1 |
| 18 | [Prognostic significance of preoperative serum albumin level in patients with gastric cancer]. | 0 |
| 19 | A new method based on fuzzy TOPSIS and BP neural network for power transformer fault diagnosis | 0 |
| 20 | Technology of Approximate Query over Data Stream | 1 |
About Ning Liu
Ning Liu is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (13 papers), Metastasis and carcinoma case studies (11 papers) and Text and Document Classification Technologies (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (420 citations), Gastroenterology (88 citations) and Artificial Intelligence (502 citations). Ning Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qun Niu, Changqing Zou, X. Cynthia, Hefeng Wu, Li Pan, Kimberly Johnson, Dongsheng Li, Yiyun Zhang, Feng Huang and Yanzhi Wang. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.