Haijun Fan
About
In The Last Decade
Haijun Fan
61 papers receiving 2.9k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Haijun Fan China | 26 | 2.6k | 2.3k | 412 | 235 | 160 | 65 | 2.9k | ||
| Selvam Subramaniyan United States | 26 | 2.5k 1.0× | 2.1k 0.9× | 425 1.0× | 326 1.4× | 150 0.9× | 29 | 2.7k | ||
| Sylvia J. Lou United States | 16 | 2.9k 1.1× | 2.5k 1.1× | 415 1.0× | 200 0.9× | 199 1.2× | 22 | 3.2k | ||
| Xuan‐Dung Dang United States | 16 | 2.2k 0.8× | 1.7k 0.8× | 428 1.0× | 193 0.8× | 238 1.5× | 19 | 2.4k | ||
| Petr P. Khlyabich United States | 24 | 2.9k 1.1× | 2.5k 1.1× | 494 1.2× | 354 1.5× | 224 1.4× | 39 | 3.2k | ||
| Shengjian Liu China | 32 | 3.1k 1.2× | 2.7k 1.2× | 401 1.0× | 185 0.8× | 173 1.1× | 105 | 3.3k | ||
| Joshua Yuk Lin Lai Hong Kong | 18 | 4.0k 1.5× | 3.5k 1.5× | 304 0.7× | 283 1.2× | 201 1.3× | 29 | 4.1k | ||
| Chunki Kim United States | 17 | 2.0k 0.8× | 1.6k 0.7× | 500 1.2× | 236 1.0× | 152 0.9× | 22 | 2.3k | ||
| Wanyuan Deng China | 26 | 2.7k 1.1× | 2.2k 1.0× | 375 0.9× | 144 0.6× | 124 0.8× | 47 | 2.9k | ||
| Robert C. Coffin United States | 16 | 1.7k 0.7× | 1.6k 0.7× | 353 0.9× | 316 1.3× | 159 1.0× | 25 | 2.1k | ||
| Pabitra Shakya Tuladhar United Kingdom | 20 | 1.9k 0.7× | 1.5k 0.7× | 356 0.9× | 130 0.6× | 115 0.7× | 28 | 2.1k |
Countries citing papers authored by Haijun Fan
This map shows the geographic impact of Haijun Fan'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 Haijun Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Fan more than expected).
Fields of papers citing papers by Haijun Fan
This network shows the impact of papers produced by Haijun Fan. 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 Haijun Fan. The network helps show where Haijun Fan may publish in the future.
Co-authorship network of co-authors of Haijun Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Fan. A scholar is included among the top collaborators of Haijun Fan 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 Haijun Fan. Haijun Fan 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.