Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Two‐stage gradient‐based iterative algorithms for the fractional‐order nonlinear systems by using the hierarchical identification principle
This map shows the geographic impact of Jun‐Wei 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 Jun‐Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Wei Wang more than expected).
This network shows the impact of papers produced by Jun‐Wei 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 Jun‐Wei Wang. The network helps show where Jun‐Wei Wang may publish in the future.
Co-authorship network of co-authors of Jun‐Wei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Wei Wang.
A scholar is included among the top collaborators of Jun‐Wei Wang 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 Jun‐Wei Wang. Jun‐Wei Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
He, Pengfei, et al.. (2018). Isolation and identification of endophytic bacteria inhibiting Phytophthora parasitica var. nicotianae and promoting tobacco seedling growth.. Yunnan Nongye Daxue xuebao. 33(6). 1037–1045.2 indexed citations
11.
Xin-shen, Zhang, et al.. (2016). Determination of Chromium(III) andCh romium(VI) in Water by Low Pressure Ion Chromatography Coupled with Inductively Coupled Plasma-Mass Spectrometry. Journal of The Society of Leather Technologists and Chemists. 100(4). 182–185.1 indexed citations
12.
ShouCai, Ma, et al.. (2014). SSR Analysis and Identification of Fertility Restorer Genes Rf1 and Rf4 of Triticum timopheevii Cytoplasmic Male Sterility(T-CMS) in Wheat(Triticum aestivum L.). Journal of Pharmaceutical and Biomedical Sciences. 22(9). 1114–1122.2 indexed citations
13.
Guo, Chao, et al.. (2013). Robust H ∞ decentralized fuzzy tracking control for bank-to-turn missiles. Chinese Control Conference. 3498–3503.2 indexed citations
14.
Wei, Wei, et al.. (2009). Serologic investigation of bovine viral diarrhea virus infection on some dairy cow farms in Heilongjiang Province.. Chinese Veterinary Science. 39(6). 561–563.1 indexed citations
15.
Wang, Jun‐Wei. (2008). Development of the Functional Brown Rice Leaven and Control of Its Diet Safety.1 indexed citations
16.
Wang, Jun‐Wei. (2007). Studies on accumulating effect of restoring genes of some alloplasmic non-1BL/1RS male sterile lines in wheat. Journal of Northwest A & F University.1 indexed citations
17.
Wang, Jun‐Wei. (2006). Automatic fuzzy rule extraction based on hierarchical genetic algorithm weighted fuzzy neural networks. Journal of Computer Applications.4 indexed citations
18.
ShouCai, Ma, et al.. (2004). Genetic difference and interrelationship among seed vigor traits in wheat. Xibei zhiwu xuebao. 24(9). 1674–1679.4 indexed citations
19.
Wang, Jun‐Wei. (2004). Chromosome Engineering on Male Sterility Research and Heterosis Utilization in Wheat.1 indexed citations
20.
Wang, Jun‐Wei. (2004). Studies on fertility specificity of male sterile line wheat with Aegilops bicornis cytoplasms. Xibei zhiwu xuebao.1 indexed citations
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.