Tun-Ping Teng
About
In The Last Decade
Tun-Ping Teng
60 papers receiving 1.7k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tun-Ping Teng Taiwan | 21 | 1.3k | 1.0k | 518 | 274 | 187 | 63 | 1.8k | ||
| Ya-Cai Hu China | 22 | 1.5k 1.1× | 693 0.7× | 713 1.4× | 356 1.3× | 173 0.9× | 43 | 2.0k | ||
| Hamza Babar Pakistan | 16 | 1.2k 0.9× | 1.3k 1.2× | 567 1.1× | 202 0.7× | 233 1.2× | 26 | 1.9k | ||
| Dongsheng Zhu China | 20 | 1.8k 1.4× | 1.3k 1.3× | 802 1.5× | 287 1.0× | 235 1.3× | 56 | 2.5k | ||
| Praveen Kumar Kanti India | 25 | 838 0.6× | 985 0.9× | 403 0.8× | 288 1.1× | 227 1.2× | 70 | 1.5k | ||
| Lazarus Godson Asirvatham India | 29 | 2.2k 1.7× | 1.4k 1.4× | 476 0.9× | 298 1.1× | 200 1.1× | 96 | 2.7k | ||
| V. Kumaresan India | 19 | 1.4k 1.1× | 623 0.6× | 867 1.7× | 164 0.6× | 118 0.6× | 33 | 1.7k | ||
| Prem Gunnasegaran Malaysia | 18 | 1.6k 1.2× | 1.1k 1.0× | 295 0.6× | 128 0.5× | 153 0.8× | 61 | 1.9k | ||
| Ênio Pedone Bandarra Filho Brazil | 30 | 1.7k 1.3× | 1.4k 1.4× | 752 1.5× | 237 0.9× | 285 1.5× | 83 | 2.5k | ||
| Shuangfeng Wang China | 27 | 1.7k 1.3× | 419 0.4× | 481 0.9× | 225 0.8× | 230 1.2× | 61 | 2.0k | ||
| Jitian Han China | 27 | 1.3k 1.0× | 424 0.4× | 408 0.8× | 432 1.6× | 482 2.6× | 87 | 2.1k |
Countries citing papers authored by Tun-Ping Teng
This map shows the geographic impact of Tun-Ping Teng'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 Tun-Ping Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tun-Ping Teng more than expected).
Fields of papers citing papers by Tun-Ping Teng
This network shows the impact of papers produced by Tun-Ping Teng. 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 Tun-Ping Teng. The network helps show where Tun-Ping Teng may publish in the future.
Co-authorship network of co-authors of Tun-Ping Teng
This figure shows the co-authorship network connecting the top 25 collaborators of Tun-Ping Teng. A scholar is included among the top collaborators of Tun-Ping Teng 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 Tun-Ping Teng. Tun-Ping Teng 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.