Junli Lu
Impact in
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Data Mining Algorithms and Applications 10
- Co-authors
- Lizhen Wang (9 shared papers)Yoichi Ochiai (8 shared papers)Yuan Fang (4 shared papers)Dean Rao (8 shared papers)Limin Xia (6 shared papers)Tiantian Wang (2 shared papers)Yiming Luo (3 shared papers)Mi-Yen Yeh (2 shared papers)
- Journals
- BMC Pregnancy and Childbirth (2 papers)SoftwareX (2 papers)International Journal of Gynecology & Obstetrics (2 papers)Cell Death and Disease (2 papers)Experimental Hematology and Oncology (1 paper)
- Partner nations
- ChinaJapanSouth Korea
In The Last Decade
Junli Lu
68 papers receiving 745 citations
Junli Lu's Hit Papers
Peers
Comparison fields: 5 of 126
- Obstetrics and Gynecology 105
- Signal Processing 93
- Pediatrics, Perinatology and Child Health 77
- Transportation 31
- Information Systems 104
Countries citing papers authored by Junli Lu
This map shows the geographic impact of Junli 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 Junli Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Lu more than expected).
Fields of papers citing papers by Junli Lu
This network shows the impact of papers produced by Junli 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 Junli Lu. The network helps show where Junli Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Myeloid-derived suppressor cells in cancer: therapeutic targets to overcome tumor immune evasion Hit paper breakdown → | 2024 | 91 |
| 2 | 2009 | 58 | |
| 3 | 2021 | 55 | |
| 4 | 2012 | 47 | |
| 5 | 2013 | 41 | |
| 6 | 2018 | 27 | |
| 7 | 2015 | 25 | |
| 8 | 2019 | 24 | |
| 9 | 2019 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2019 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2016 | 19 | |
| 14 | 2018 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2016 | 15 | |
| 17 | 2016 | 14 | |
| 18 | 2014 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 11 |
About Junli Lu
Junli Lu is a scholar working on Information Systems, Molecular Biology, Pediatrics, Perinatology and Child Health, Signal Processing and Artificial Intelligence, having authored 75 papers that have together received 770 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Data Management and Algorithms (9 papers), Maternal and fetal healthcare (8 papers), Rough Sets and Fuzzy Logic (4 papers), Tactile and Sensory Interactions (4 papers), Topic Modeling (3 papers), Virtual Reality Applications and Impacts (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Obstetrics and Gynecology (105 citations), Signal Processing (93 citations), Pediatrics, Perinatology and Child Health (77 citations), Transportation (31 citations) and Information Systems (104 citations). Junli Lu has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Lizhen Wang, Yoichi Ochiai, Yuan Fang, Dean Rao, Limin Xia, Tiantian Wang, Yiming Luo, Mi-Yen Yeh, Zhen Lei and Bixiang Zhang. Their work appears in journals such as BMC Pregnancy and Childbirth, SoftwareX, International Journal of Gynecology & Obstetrics, Cell Death and Disease and Experimental Hematology and Oncology.
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.