activity
20162025
most citedEfficient target control of complex networks based on preferential matching

25 citations · 91 across the 10 of their papers we have counts for

collaborators

10 papers

q-bio.MN2025

From Cancer Drivers to Cancer Keepers: Paradigm Shift and Clinical Implications

Xizhe Zhang, Weixiong Zhang

Cancer research has traditionally focused on identifying driver genes, those with mutations that initiate tumorigenesis. The Cancer Driver Gene (CDG) paradigm, further supported by…

eess.SY2023

Adaptive control of dynamic networks

Chunyu Pan, Xizhe Zhang, Haoyu Zheng +3

Real-world network systems are inherently dynamic, with network topologies undergoing continuous changes over time. Previous works often focus on static networks or rely on complet…

q-bio.MN2022★ 1 cited

Total controllability analysis discovers explainable drugs for Covid-19 treatment

Xinru Wei, Chunyu Pan, Xizhe Zhang +1

Network medicine has been pursued for Covid-19 drug repurposing. One such approach adopts structural controllability, a theory for controlling a network (the cell). Motivated to pr…

cs.DM2022★ 2 cited

Control hubs of complex networks and a polynomial-time identification algorithm

Xizhe Zhang, Chunyu Pan, Weixiong Zhang

Unveiling the underlying control principles of complex networks is one of the ultimate goals of network science. We introduce a novel concept, control hub, to reveal a cornerstone…

cs.SI2019★ 7 cited

Altering control modes of complex networks based on edge removal

Xizhe Zhang, Qian Li

Controlling a complex network is of great importance in many applications. The network can be controlled by inputting external control signals through some selected nodes, which ar…

eess.SY2019★ 6 cited

Altering nodes types in controlling complex networks

Xizhe Zhang, Yuyan Zhu, Yongkang Zhao

Controlling a complex network towards a desired state is of great importance in many applications. A network can be controlled by inputting suitable external signals into some sele…

cs.DM2017★ 25 cited

An efficient algorithm for finding all possible input nodes for controlling complex networks

Xizhe Zhang, Jianfei Han, Weixiong Zhang

Understanding structural controllability of a complex network requires to identify a Minimum Input nodes Set (MIS) of the network. It has been suggested that finding an MIS is equi…

physics.comp-ph2016★ 2 cited

Robustness of indispensable nodes in controlling protein-protein interaction network

Xizhe Zhang, Huaizhen Wang, Yunyi Yang

Recently, the structural controllability theory has been introduced to analyze the Protein-Protein Interaction (PPI) network. The indispensable nodes, which their removal increase…

physics.soc-ph2016★ 25 cited

Efficient target control of complex networks based on preferential matching

Xizhe Zhang, Huaizhen Wang, Tianyang Lv

Controlling a complex network towards a desire state is of great importance in many applications. Existing works present an approximate algorithm to find the driver nodes used to c…

eess.SY2016★ 23 cited

Input graph: the hidden geometry in controlling complex networks

Xizhe Zhang, Tianyang Lv, Yuanyuan Pu

The ability to control a complex network towards a desired behavior relies on our understanding of the complex nature of these social and technological networks. The existence of n…