Lingjiao Chen
- Molecular Biology
- Artificial Intelligence top 10%
- Cancer Research
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Arun KumarJames ZouMatei ZahariaParaschos KoutrisSongqing FanQiuyuan WenHongjing ZangWeiyuan Wang
- Topics
- Topic Modeling (3 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)Lung Cancer Treatments and Mutations (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScience Advances
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lingjiao Chen
33 papers receiving 733 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 302
- Artificial Intelligence 201
- Cancer Research 107
- Information Systems 93
- Computer Networks and Communications 68
Countries citing papers authored by Lingjiao Chen
This map shows the geographic impact of Lingjiao Chen'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 Lingjiao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingjiao Chen more than expected).
Fields of papers citing papers by Lingjiao Chen
This network shows the impact of papers produced by Lingjiao Chen. 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 Lingjiao Chen. The network helps show where Lingjiao Chen may publish in the future.
Co-authorship network of co-authors of Lingjiao Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Lingjiao Chen. A scholar is included among the top collaborators of Lingjiao Chen 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 Lingjiao Chen. Lingjiao Chen 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 | How Is ChatGPT’s Behavior Changing Over Time?breakdown → | 137 |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | Glucocorticoid-induced loss of beneficial gut bacterial extracellular vesicles is associated with the pathogenesis of osteonecrosisbreakdown → | 118 |
| 7 | FrugalML: How to use ML Prediction APIs more accurately and cheaply | 1 |
| 8 | 21 | |
| 9 | The Effect of Network Width on the Performance of Large-batch Training | 4 |
| 10 | Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training | 3 |
| 11 | 7 | |
| 12 | When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding. | 2 |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 36 | |
| 16 | 49 | |
| 17 | 49 | |
| 18 | 9 | |
| 19 | 30 | |
| 20 | 8 |
About Lingjiao Chen
Lingjiao Chen is a scholar working on Health Informatics, Computer Science Applications and Artificial Intelligence, having authored 36 papers that have together received 742 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Health Informatics (49 citations), Cancer Research (107 citations) and Computer Science Applications (36 citations). Lingjiao Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Arun Kumar, James Zou, Matei Zaharia, Paraschos Koutris, Songqing Fan, Qiuyuan Wen, Hongjing Zang, Weiyuan Wang, Shuzhou Chu and Lina Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Science Advances.
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.