Dong–Hua Luo
- Pulmonary and Respiratory Medicine top 10%
- Otorhinolaryngology top 2%
- Oncology
- Molecular Biology
- Surgery
- Co-authors
- Qiuyan ChenGang LiuDurga Prasad BavirisettiGang XiaoYing PengYamei TangXiaoming RongXiaolei Shi
- Topics
- Head and Neck Cancer Studies (29 papers)Head and Neck Surgical Oncology (12 papers)Lung Cancer Research Studies (8 papers)
In The Last Decade
Dong–Hua Luo
43 papers receiving 723 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Pulmonary and Respiratory Medicine 241
- Otorhinolaryngology 239
- Oncology 210
- Molecular Biology 170
- Surgery 158
Countries citing papers authored by Dong–Hua Luo
This map shows the geographic impact of Dong–Hua Luo'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 Dong–Hua Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong–Hua Luo more than expected).
Fields of papers citing papers by Dong–Hua Luo
This network shows the impact of papers produced by Dong–Hua Luo. 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 Dong–Hua Luo. The network helps show where Dong–Hua Luo may publish in the future.
Co-authorship network of co-authors of Dong–Hua Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Dong–Hua Luo. A scholar is included among the top collaborators of Dong–Hua Luo 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 Dong–Hua Luo. Dong–Hua Luo 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 | 7 | |
| 4 | 5 | |
| 5 | Multi-timescale photovoltaic power forecasting using an improved Stacking ensemble algorithm based LSTM-Informer modelbreakdown → | 99 |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 27 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | An Algorithm of Background Extraction and Update for Saturated Intersection | 0 |
| 15 | 88 | |
| 16 | Study on the Methods of Automatic Incident Detection based on the Video Vehicle Trajectory Model | 4 |
| 17 | 39 | |
| 18 | 11 | |
| 19 | Multivariable analysis of prognostic predictors for 406 patients with nasopharyngeal carcinoma | 2 |
| 20 | A Bus Video Detection Algorithm Based on Geometry and Color | 0 |
About Dong–Hua Luo
Dong–Hua Luo is a scholar working on Otorhinolaryngology, Oncology and Surgery, having authored 47 papers that have together received 737 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (29 papers), Head and Neck Surgical Oncology (12 papers) and Lung Cancer Research Studies (8 papers). The work is most often cited by research in Otorhinolaryngology (239 citations), Cancer Research (128 citations) and Oncology (210 citations). Dong–Hua Luo has collaborated with scholars based in China, Norway and France. Frequent co-authors include Qiuyan Chen, Gang Liu, Durga Prasad Bavirisetti, Gang Xiao, Ying Peng, Yamei Tang, Xiaoming Rong, Xiaolei Shi, Lin‐Quan Tang and Sai‐Lan Liu. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology 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.