Min Cong
About
In The Last Decade
Min Cong
75 papers receiving 3.2k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Min Cong China | 23 | 1.4k | 1.3k | 1.1k | 527 | 421 | 80 | 3.2k | ||
| Antonella Pellicoro United Kingdom | 14 | 1.7k 1.2× | 1.4k 1.1× | 891 0.8× | 822 1.6× | 721 1.7× | 21 | 3.6k | ||
| Yutaka Inagaki Japan | 37 | 1.7k 1.2× | 1.4k 1.0× | 2.1k 2.0× | 784 1.5× | 544 1.3× | 125 | 4.9k | ||
| Prakash Ramachandran United Kingdom | 22 | 2.1k 1.5× | 1.8k 1.4× | 1.1k 1.0× | 880 1.7× | 1.1k 2.5× | 41 | 4.3k | ||
| Hua Huang China | 29 | 794 0.6× | 783 0.6× | 1.3k 1.2× | 321 0.6× | 573 1.4× | 144 | 3.3k | ||
| Mihael Vucur Germany | 28 | 887 0.6× | 1.4k 1.0× | 1.8k 1.7× | 585 1.1× | 664 1.6× | 74 | 3.8k | ||
| Ruchi Bansal Netherlands | 33 | 660 0.5× | 656 0.5× | 797 0.8× | 480 0.9× | 490 1.2× | 85 | 3.1k | ||
| M Roderfeld Germany | 26 | 847 0.6× | 881 0.7× | 531 0.5× | 357 0.7× | 222 0.5× | 74 | 2.2k | ||
| Thomas Knittel Germany | 33 | 2.0k 1.4× | 1.3k 1.0× | 1.0k 1.0× | 792 1.5× | 354 0.8× | 61 | 3.2k | ||
| Sébastien Lepreux France | 31 | 652 0.5× | 652 0.5× | 633 0.6× | 909 1.7× | 607 1.4× | 105 | 3.2k | ||
| Yutaka Midorikawa Japan | 31 | 899 0.6× | 518 0.4× | 1.7k 1.6× | 625 1.2× | 197 0.5× | 110 | 3.4k |
Countries citing papers authored by Min Cong
This map shows the geographic impact of Min Cong'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 Min Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Cong more than expected).
Fields of papers citing papers by Min Cong
This network shows the impact of papers produced by Min Cong. 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 Min Cong. The network helps show where Min Cong may publish in the future.
Co-authorship network of co-authors of Min Cong
This figure shows the co-authorship network connecting the top 25 collaborators of Min Cong. A scholar is included among the top collaborators of Min Cong 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 Min Cong. Min Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.