quanteda: An R package for the quantitative analysis of textual data2018 · 780 citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of H. P. Wang'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 H. P. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. P. Wang more than expected).
This network shows the impact of papers produced by H. P. Wang. 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 H. P. Wang. The network helps show where H. P. Wang may publish in the future.
Co-authorship network
The 12 scholars most cited alongside H. P. Wang, linked wherever they have
co-authored with each other. Click a name or a connecting line to browse the papers they
share.
Border = papers with H. P. WangLine = papers co-authored togetherH. P. Wang links everyone, so they are left out of the graph.
H. P. Wang is a scholar working on Analytical Chemistry, Food Science, Information Systems, Genetics and Artificial Intelligence, having authored 2 papers that have together received 780 indexed citations. Recurring topics across this work include Advances in Cucurbitaceae Research (1 paper), Advanced Text Analysis Techniques (1 paper), Spectroscopy and Chemometric Analyses (1 paper), Essential Oils and Antimicrobial Activity (1 paper), Topic Modeling (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in General Social Sciences (182 citations), Communication (153 citations), Political Science and International Relations (153 citations), Sociology and Political Science (283 citations) and Strategy and Management (79 citations). H. P. Wang has collaborated with scholars based in Israel, Ireland and United Kingdom. Frequent co-authors include Stefan Müller, Kohei Watanabe, Paul Nulty, Adam Obeng, Akitaka Matsuo, Kenneth Benoit, Xiaohua Wu, Hongyu Huang, Ying Wang and Biao Zhu. Their work appears in journals such as Foods and The Journal of Open Source Software.
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.