Bing Long
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- stochastic dynamics and bifurcation
- Chaos control and synchronization
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 2
- Chronic Myeloid Leukemia Treatments 2
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- DNA Repair Mechanisms 2
- Hedgehog Signaling Pathway Studies 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Jun Mei (1 shared paper)Bin Wang (1 shared paper)Minghui Jiang (1 shared paper)Huanling Zhu (1 shared paper)Wentong Meng (1 shared paper)Ting Liu (1 shared paper)Quentin Liu (2 shared papers)Yuan Hu (2 shared papers)
- Journals
- IEEE Internet of Things Journal (2 papers)Cell Death Discovery (1 paper)Medicine (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Bing Long
23 papers receiving 292 citations
Peers
Comparison fields: 5 of 53
- Hematology 68
- Statistical and Nonlinear Physics 44
- Computer Networks and Communications 63
- Genetics 23
- Molecular Biology 139
Countries citing papers authored by Bing Long
This map shows the geographic impact of Bing Long'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 Bing Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Long more than expected).
Fields of papers citing papers by Bing Long
This network shows the impact of papers produced by Bing Long. 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 Bing Long. The network helps show where Bing Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Long, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 68 | |
| 2 | 2011 | 55 | |
| 3 | 2016 | 48 | |
| 4 | 2016 | 38 | |
| 5 | 2020 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2016 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About Bing Long
Bing Long is a scholar working on Hematology, Molecular Biology, Pediatrics, Perinatology and Child Health, Ophthalmology and Oncology, having authored 26 papers that have together received 293 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), DNA Repair Mechanisms (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Glaucoma and retinal disorders (2 papers), Water Quality Monitoring Technologies (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hematology (68 citations), Statistical and Nonlinear Physics (44 citations), Computer Networks and Communications (63 citations), Genetics (23 citations) and Molecular Biology (139 citations). Bing Long has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Jun Mei, Bin Wang, Minghui Jiang, Huanling Zhu, Wentong Meng, Ting Liu, Quentin Liu, Yuan Hu, Zi-Jie Long and Minyi Zhao. Their work appears in journals such as IEEE Internet of Things Journal, Cell Death Discovery, Medicine, Frontiers in Cell and Developmental Biology and Frontiers in 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.