Haichun Zhang
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Paleontology top 0.5%
- Genetics top 2%
- Geophysics top 5%
- Ecology top 10%
- Co-authors
- Bó WángYan FangAlexandr P. RasnitsynSu‐Chin ChangEdmund A. JarzembowskiDaran ZhengPaul R. RenneJun Chen
- Topics
- Fossil Insects in Amber (190 papers)Plant and animal studies (107 papers)Paleontology and Stratigraphy of Fossils (66 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Haichun Zhang
272 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Ecology, Evolution, Behavior and Systematics 2.9k
- Paleontology 1.5k
- Genetics 836
- Geophysics 417
- Ecology 264
Countries citing papers authored by Haichun Zhang
This map shows the geographic impact of Haichun Zhang'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 Haichun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haichun Zhang more than expected).
Fields of papers citing papers by Haichun Zhang
This network shows the impact of papers produced by Haichun Zhang. 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 Haichun Zhang. The network helps show where Haichun Zhang may publish in the future.
Co-authorship network of co-authors of Haichun Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Haichun Zhang. A scholar is included among the top collaborators of Haichun Zhang 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 Haichun Zhang. Haichun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 14 | |
| 16 | 19 | |
| 17 | Some Jurassic homopteran insects from the Junggar basin, Xinjiang, China | 12 |
| 18 | A new genus of Mesoserphidae (Hymenoptera: Proctotrupoidea) from the Upper Jurassic of Northeast China | 7 |
| 19 | Early Cretaceous insects from the Dalazi Formation of the Zhixin Basin，Jilin Province，China | 38 |
| 20 | Mesozoic insects of Orthophlebiidae (Insecta, Mecoptera) from Junggar Basin, Xinjiang, China | 6 |
About Haichun Zhang
Haichun Zhang is a scholar working on Paleontology, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 295 papers that have together received 4.2k indexed citations. Recurring topics across this work include Fossil Insects in Amber (190 papers), Plant and animal studies (107 papers) and Paleontology and Stratigraphy of Fossils (66 papers). The work is most often cited by research in Paleontology (1.5k citations), Ecology, Evolution, Behavior and Systematics (2.9k citations) and Geophysics (417 citations). Haichun Zhang has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Bó Wáng, Yan Fang, Alexandr P. Rasnitsyn, Su‐Chin Chang, Edmund A. Jarzembowski, Daran Zheng, Paul R. Renne, Jun Chen, Jun Wang and Jacek Szwedo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.