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.
The earliest unequivocally modern humans in southern China
2015277 citationsWu Liu, María Martinón‐Torres et al.profile →
Late Pleistocene archaic human crania from Xuchang, China
2017126 citationsZhanyang Li, Xiujie Wu et al.Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Wu Liu'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 Wu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Liu more than expected).
This network shows the impact of papers produced by Wu Liu. 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 Wu Liu. The network helps show where Wu Liu may publish in the future.
Co-authorship network of co-authors of Wu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Wu Liu.
A scholar is included among the top collaborators of Wu Liu 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 Wu Liu. Wu Liu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Li, Zhanyang, Xiujie Wu, Liping Zhou, et al.. (2017). Late Pleistocene archaic human crania from Xuchang, China. Science. 355(6328). 969–972.126 indexed citations breakdown →
10.
Xing, Song, et al.. (2014). Human Fossils Found from Hualong Cave, Dongzhi County, Anhui Province. Acta Anthropologica Sinica. 427–436.6 indexed citations
11.
Liu, Wu, Xianzhu Wu, Shuwen Pei, & Xiujie Wu. (2010). Huanglong Cave: A Newly Found Late Pleistocene Human Fossil Site in Hubei Province, China.1 indexed citations
12.
Liu, Wu. (2010). Tooth Wear and Tooth Use of Late Pleistocene Humans from Huanglong Cave in Yunxi of Hubei Province. Acta Anthropologica Sinica.2 indexed citations
13.
Liu, Wu. (2007). A Morphological Comparison of Two Homo erectus Crania:Nanjing 1 and KNM-ER 3733. Acta Anthropologica Sinica.1 indexed citations
14.
Liu, Wu, Xiujie Wu, & Liang Wang. (2006). Some problems for the late pleistocene human cranium found in Liujiang of south China based on morphological analysis. Acta Anthropologica Sinica. 25(3). 177–194.10 indexed citations
15.
Liu, Wu. (2005). Comparison of Homo sapiens erectus from Nanjing with Those from Zhoukoudian and Sangiran in Facial Morphology. Acta Anthropologica Sinica.1 indexed citations
16.
Liu, Wu, et al.. (2003). Cranial capacity estimation for homo erectus from tangshan, nanjing. Acta Anthropologica Sinica. 22(3). 201–205.1 indexed citations
17.
Liu, Wu. (2002). DENTAL MORPHOLOGICAL DISTINCTIONS BETWEEN HOMO ERECTUS AND EARLY HOMO SAPIENS IN CHINA. Acta Anthropologica Sinica.2 indexed citations
18.
Ye, Yuguang, et al.. (2001). The ESR age of shells from the bed of dali with human fossil. Acta Anthropologica Sinica. 20(1). 34–38.9 indexed citations
19.
Liu, Wu, et al.. (1996). The Dental Morphology of the people of Zhanguo Period in Longxian, Shaanxi Province. Acta Anthropologica Sinica. 15(4). 302–314.2 indexed citations
20.
Liu, Wu. (1989). Sex discriminant analysis of long bones of upper limb. Acta Anthropologica Sinica. 8(3). 231.12 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.