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.
Learning similarity with cosine similarity ensemble
2015295 citationsLi Zhang, Fanzhang Li et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Fanzhang Li'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 Fanzhang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanzhang Li more than expected).
This network shows the impact of papers produced by Fanzhang Li. 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 Fanzhang Li. The network helps show where Fanzhang Li may publish in the future.
Co-authorship network of co-authors of Fanzhang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Fanzhang Li.
A scholar is included among the top collaborators of Fanzhang Li 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 Fanzhang Li. Fanzhang Li is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sun, Yu-E, He Huang, Xiang‐Yang Li, et al.. (2015). Spectrum Allocation Mechanisms in Wireless Networks with Performance Guarantee. Ad Hoc & Sensor Wireless Networks. 27. 111–134.1 indexed citations
Li, Fanzhang. (2012). Design of evaluation-function for computer gobang game system. Journal of Computer Applications.2 indexed citations
8.
Li, Fanzhang. (2009). Research on Multi-Agent Dynamic Task Allocation Algorithm and Based on Dynamic Fuzzy Set. Dianzi xuebao.
9.
Li, Fanzhang, et al.. (2009). A new search method for a game tree. Journal of Shandong University.1 indexed citations
10.
Li, Fanzhang. (2008). Research on an New Dynamic Fuzzy Parameter Learning Algorithm. Microelectronics & Computer.2 indexed citations
11.
Li, Fanzhang. (2008). Research on the Kind of Dynamic Fuzzy Machine Learning Algorithm. Dianzi xuebao.3 indexed citations
12.
Li, Fanzhang. (2007). Research of Algorithm of Dynamic Fuzzy Decision Tree. Computer Technology and Development.1 indexed citations
13.
Li, Fanzhang. (2007). Application and Research of DFL in E-commerce. Jisuanji gongcheng.1 indexed citations
14.
Li, Fanzhang. (2007). Design of data exchange model based on JMS and XML. Jisuanji gongcheng yu sheji.
15.
Li, Fanzhang. (2006). Design of a Model for Optimization in Autonomic Systems. Computer Technology and Development.
16.
Zhao, Xiaofang & Fanzhang Li. (2006). The Frame of DFL Programming Language. 3(1). 1–15.
17.
Li, Fanzhang. (2001). Designing of Expert Database Systems Based on DFS. Jisuanji gongcheng.1 indexed citations
18.
Li, Fanzhang. (2001). Research on A Kind of Coordination Machine Learning Model Based on The DFS. Jisuanji gongcheng.1 indexed citations
19.
Li, Fanzhang. (2001). The True Value Domain measure of Dynamic Fuzzy Logic. Jisuanji gongcheng.
20.
Li, Fanzhang. (2001). Research on the Dynamic Fuzzy Data Operation and Its Model. Jisuanji gongcheng.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.