FYI had a quick look over the ISWC 2019 proceedings and there are 8 papers that make direct reference to the (Apache) Jena project
https://iswc2019.semanticweb.org/proceedings/ Decentralized Indexing over a Network of RDF Peers. ISWC 2019 Christian Aebeloe, Gabriela Montoya and Katja Hose Mining Significant Maximum Cardinalities in Knowledge Bases. ISWC 2019 Arnaud Giacometti, B´eatrice Markhoff and Arnaud Soulet A Worst-Case Optimal Join Algorithm for SPARQL. ISWC 2019. Aidan Hogan, Cristian Riveros, Carlos Rojas and Adri´an Soto Type Checking Program Code Using SHACL. ISWC 2019. Martin Leinberger, Philipp Seifer, Claudia Schon, Ralf L¨ammel and Steffen Staab A Framework for Evaluating Snippet Generation for Dataset Search. ISWC 2019 Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, and Yuzhong Qu The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity. ISWC 2019. Elmar Kiesling, Andreas Ekelhart, Kabul Kurniawan and Fajar Ekaputra: Sparklify: A Scalable Software Component for Efficient Evaluation of SPARQL Queries over Distributed RDF Datasets. ISWC 2019 Claus Stadler, Gezim Sejdiu, Damien Graux and Jens Lehmann Benefit Graph Extraction from Healthcare Policies. ISWC 2019 Vanessa Lopez, Valentina Rho, Theodora S. Brisimi,Fabrizio Cucci, Morten Kristiansen, John Segrave-Daly, Jillian Scalvini, John Davis and Grace Ferguson In particular I'd like to draw your attention to the following claim in "A Worst-Case Optimal Join Algorithm for SPARQL" which states that "[o]ur results show that with this new join algorithm, Apache Jena often runs orders of magnitude faster than the base version and two other SPARQL engines: Virtuoso and Blazegraph." which I believe warrants a closer look at the proposed improvements by the authors. -- --- Marco Neumann KONA
